Academic literature on the topic 'Optimization by one criterion and multi-criteria optimization'
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Journal articles on the topic "Optimization by one criterion and multi-criteria optimization"
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Lebedev, Yuriy Vladimirovitch, Valery Pavlovitch Anufriev, and Vladimir Vladimirovitch Belov. "Multi-Criteria Optimization in Forest Exploitation." Applied Mechanics and Materials 694 (November 2014): 549–53. http://dx.doi.org/10.4028/www.scientific.net/amm.694.549.
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In the article the multi-criteria approach at optimization of environmental management is considered as a part of the scientific basis of sustainable development of territories. The results of research of theory and practice of forest exploitation optimization in the Central Ural are presented. The basic principles of purpose formulation, of general analysis, of justification of optimization criteria and selection of methods of solving the tasks of environmental management (forest exploitation) optimization are revealed. On the basis of these scientific researches the principles of disclosure of uncertainty of optimum decisions in one-criteria tasks of forest exploitation are formulated; the mechanism of optimization by criterion of minimax risk that allows avoiding big losses of the environmental potential of forests is shown. The principles of definition of an optimum variant of forest exploitation according to reasonable concessions to extreme values of criteria of using the resource potential, preservation of environmental functions and a social role of forests are revealed.
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Ustynenko, Oleksandr, Oleksiy Bondarenko, Illia Klochkov, and Volodymyr Serykov. "Multi-criteria optimization of tracked vehicle transmissions." MATEC Web of Conferences 287 (2019): 01019. http://dx.doi.org/10.1051/matecconf/201928701019.
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The article is devoted to the problem of computer modeling of rational design of tracked vehicle transmissions with multiple criteria. The problems of finding optimal geometric parameters that satisfy several quality criteria. All the complexity of the layout and the relationship of the parameters make difficult their choice, which is simplified when using approaches of mathematical optimization. Using the famous pseudo-random method LPτ-search with the author's modification made it possible to avoid problems associated with the discreteness and the number of parameters. The main optimization criteria for transmission are minimum center distance, minimum length, minimum mass, and maximum uptime probability. To solve this problem, the problem was formulated and design parameters with constraints were specified, criteria were recorded and a transformation from multicriteria to a single criterion was proposed. The approach is based on analysis of test points that obtained using LPτ-search, and further processing of the information received. The approach of transformation from many criteria to one is proposed by introducing the scale of importance by the designer and assigning the importance of each of the criteria, finding the desired solution for each trial point of relative offset, which is proposed to be used as a unifying criterion. Basic schemes and flowcharts of the algorithm elements are provided. The implementation of the computer model was carried out in the Delphi 7 environment.
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Aneja, Preety. "Optimization and Efficiency Studies of Heat Engines: A Review." Journal of Advanced Research in Mechanical Engineering and Technology 07, no. 03 (2020): 37–58. http://dx.doi.org/10.24321/2454.8650.202006.
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This review aims to study the various theoretical and numerical investigations in the optimization of heat engines. The main focus is to discuss the procedures to derive the efficiency of heat engines under different operating regimes (or optimization criteria) for different models of heat engines such as endreversible models, stochastic models, low-dissipation models, quantum models etc. Both maximum power and maximum efficiency operational regimes are desirable but not economical, so to meet the thermo-ecological considerations, some other compromise-based criteria have been proposed such as Ω criterion (ecological criterion) and efficient power criterion. Thus, heat engines can be optimized to work at an efficiency which may not be the maximum (Carnot) efficiency. The optimization efficiency obtained under each criterion shows a striking universal behaviour in the near-equilibrium regime. We also discussed a multi-parameter combined objective function of heat engines. The optimization efficiency derived from the multi-parameter combined objective function includes a variety of optimization efficiencies, such as the efficiency at the maximum power, efficiency at the maximum efficiency-power state, efficiency at the maximum criterion, and Carnot efficiency. Thus, a comparison of optimization of heat engines under different criteria enables to choose the suitable one for the best performance of heat engine under different conditions.
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Khachaturov, R. "One-criteria and multi-criteria optimization on a grid of cubes." Известия Российской академии наук. Теория и системы управления, no. 5 (October 2018): 89–98. http://dx.doi.org/10.31857/s000233880002847-0.
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Nikitina, Marina A., and Irina M. Chernukha. "MULTI–CRITERIA OPTIMIZATION OF A PRODUCT RECIPE COMPOSITION." Theory and practice of meat processing 3, no. 3 (2018): 89–98. http://dx.doi.org/10.21323/2414-438x-2018-3-3-89-98.
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The scientific direction of multicomponent food modeling with a certain set of indicators for nutritional and energy values is still topical in the whole world. At present, the mathematical foundations of solving tasks by a single criterion (single-criterion optimization) are well studied. However, multi-criteria tasks, in which a system is to be optimized by several criteria simultaneously, exist in various fields of engineer solutions, research and management activities. The aim of the work is to theoretically substantiate the methodology of the multi-criteria model of food recipe optimization in different settings for different criteria of nutritional, biological and energy values, as well as amino acid, fatty acid, vitamin and mineral adequacy. It is proposed to use an effective method of multi-criteria optimization — the Pareto method. Since the Pareto-optimal solution can be not the only one, the definition of the Pareto-optimal set of solutions is given as a set of non-dominated alternatives. The authors propose not to select non-dominative options of food products, but slightly extend a subset by choosing a nucleus in the initial set, in which all alternatives are incomparable to each other and any option that is not included in the nucleus is dominated by at least one alternative of the nucleus. The following reduction of the options can be achieved by imposing other tighter constraints, for example, by increasing the threshold value for the index of agreement C and decreasing the threshold value for the index of disagreement. The use of the IT-technologies realized by the methods of multi-criteria structure optimization and mathematical programming allows correcting and optimizing food recipes by different criteria of the non-linear character, structuring the obtained set of alternatives and detecting the optimal food recipe option with the targeted quality, composition and properties or a diet for a particular population category with consideration for the therapeutic and prophylactic direction.
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Vu Duc Quyen and Andrey Ronzhin. "Multi-criteria optimization of the four-finger gripper mechanism." Robotics and Technical Cybernetics 8, no. 4 (2020): 276–86. http://dx.doi.org/10.31776/rtcj.8404.
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Three posterior algorithms NSGA-II, MOGWO and MOPSO to solve the problem of multicriteria optimization of the robotic gripper design are considered. The description of the kinematic model of the developed prototype of the four-fingered gripper for picking tomatoes, its limitations and objective functions used in the optimization of the design are given. The main advantage of the developed prototype is the use of one actuator for the control of the fingers and the suction nozzle. The results of optimization of the kinematic model and the dimensions of the elements of robotic gripper using the considered posterior algorithms are presented.
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Kononenko, Igor, and Anhelina Korchakova. "Method for solving the multi-criteria non-Markov problem of project portfolio optimization." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 1 (February 23, 2022): 67–82. http://dx.doi.org/10.32620/reks.2022.1.05.
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The subject of the study in this paper is models and methods of optimization of the organization's project portfolio for the planning period, considering the effects of the previously made decisions. Project portfolio optimization is one of the responsible and complex tasks by company's top management solves. Based on the analysis of the known works in the field, the research purpose is described: to create a method that would allow solve the problem of multi-criteria project portfolio optimization for the planned period, considering the aftereffects of the previously made decisions. The research tasks are to enhance the method for solving the project portfolio optimization problem in terms of maximizing the difference between income and costs for all projects started during the planned period; to propose a method for solving the project portfolio optimization problem in terms of the social effects of projects that started during the planned period; create a method for solving the problem of project portfolio optimization for the planned period in a multi-criteria setting. There are the following results obtained in the paper. There is presents the mathematical model of the problem being solved, the problem objective functions include the difference between the receipt and expenditure of funds in time, the portfolio risks, and its implementation social effects. The mathematical model considers the provision of funds sufficiency for the implementation of projects in all periods, the required sequence of project implementation, and the mandatory inclusion of some projects in the portfolio for a given period. The problem under consideration belongs to the multi-criteria non-Markov dynamic discrete optimization problems. There is a proposed method for solving it in a multi-criteria formulation. The method is based on solving one criterion problem, and then a multi-criteria problem. The method is based on the minimax approach and implicit search. There has been developed solving method for the problem of enterprise project portfolio optimization for the planned period following the profit criterion. In contrast to the existing methods, this method considers the constraints on debt absence and the aftereffects of the previously made decisions. The method served as the basis for creating risk and social effect optimization methods. A method for enterprise project portfolio optimization of the planned period is provided, which, unlike previous, considers the criteria of profit, risks, and social effect, the constraints on debt absence, and the aftereffect of the previously made decisions. That makes it possible to improve the quality of the generated portfolio.
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Li, Xiaoyong, Xiao Chai, and Hong Liu. "Conceptual design optimization of a wide-body commercial aircraft using a competitiveness model." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 234, no. 2 (2019): 208–20. http://dx.doi.org/10.1177/0954410019862082.
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The conceptual design optimization of wide-body commercial aircraft is very challenging today. This paper deals with the conceptual design optimization problem of a next-cycle wide-body commercial aircraft, which has many similarities to the one being co-developed by China and Russia. The most difficult weaknesses are that the design requirements cannot be traded off during the conceptual design optimization process. To overcome this issue, a competitiveness model is built up for the wide-body commercial aircraft. The analytic hierarchy process is applied to formulate the competitiveness model, which is a multi-level evaluation model. The competiveness model includes three levels, i.e. target level, criteria level, and attributes level. The target level has an output, i.e. the competitiveness of the investigated aircraft, which serves as the single objective function in the conceptual design optimization problem. The criteria level includes four elements of economics, comfort, environmental impact, and adaptability. In addition, each criterion is further divided into more attributes, which are parameters obtained from the commercial aircraft conceptual design. By using the competitiveness model, the conceptual design optimization problem is converted into an unconstrained one that can be solved easily. Two optimizations with different judgment matrices for criteria level were performed. Compared with the baseline design candidate, the overall competitiveness of the optimal design for the optimization case 1 and case 2 increased by 9.28% and 11.51%, respectively, which benefits the designers and decision-makers.
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Tupalo, Yaroslav. "Multi-Criteria Optimization in the Design of High-Load Systems." Cybernetics and Computer Technologies, no. 4 (December 30, 2021): 43–50. http://dx.doi.org/10.34229/2707-451x.21.4.5.
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The current stage of development of science and technology is characterized by a significant complication of the tasks. The development of the economy to produce a situation where the development, implementation and operation of complex technical and socio-technical systems have to be in conditions of fierce competition. This is necessary to reduce the time of development and implementation of new technologies, especially in high-load systems. Highly loaded systems are, by and large, the same websites, only with a very large audience, and as a consequence with a large load, which requires an optimized server part of the site. A qualitative characteristic for a highly loaded system is the bandwidth of this system, it describes the amount of work that must be able to perform the system per unit time. The development of highly loaded systems is time consuming and poorly formalized. Since the production of high-load systems is one of the most dynamically developing areas in the field of information technology, which is demonstrated by a significant annual increase in volumes. In the practical task of decision-making, there is often a situation where you cannot limit yourself to considering a single criterion for choosing a decision. An attempt at mathematical formalization of such problems has led to the creation of the Theory of Multicriteria Optimization, which is used in the development of methods, intended for support of decision makers, in the presence of several criteria. The steps for construction of algorithm of multicriteria optimization in designing of highly loaded systems, carries out search of solutions of a maximum in a multicriteria problem are resulted. The algorithm was based on the descent method in Simplex problems. Simplex method - an algorithm for solving the optimization problem of linear programming by searching the vertices of a convex polyhedron in multidimensional space. Multicriteria optimization is based on finding solutions in problems with a large number of options. Now the type of tasks is very resource-intensive and is calculated using computers. Keywords: high-load data systems, high-load computing system.
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Sun, S. A., S. Djordjević, and S. T. Khu. "Decision making in flood risk based storm sewer network design." Water Science and Technology 64, no. 1 (2011): 247–54. http://dx.doi.org/10.2166/wst.2011.179.
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It is widely recognised that flood risk needs to be taken into account when designing a storm sewer network. Flood risk is generally a combination of flood consequences and flood probabilities. This paper aims to explore the decision making in flood risk based storm sewer network design. A multi-objective optimization is proposed to find the Pareto front of optimal designs in terms of low construction cost and low flood risk. The decision making process then follows this multi-objective optimization to select a best design from the Pareto front. The traditional way of designing a storm sewer system based on a predefined design storm is used as one of the decision making criteria. Additionally, three commonly used risk based criteria, i.e., the expected flood risk based criterion, the Hurwicz criterion and the stochastic dominance based criterion, are investigated and applied in this paper. Different decisions are made according to different criteria as a result of different concerns represented by the criteria. The proposed procedure is applied to a simple storm sewer network design to demonstrate its effectiveness and the different criteria are compared.
Dissertations / Theses on the topic "Optimization by one criterion and multi-criteria optimization"
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Куперман, В. В., В. В. Куперман та V. Cooperman. "Оптимізація виробничої програми промислового підприємства". Diss., Одеський національний економічний університет, 2012. http://dspace.oneu.edu.ua/jspui/handle/123456789/3857.
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Дисертація присвячена удосконаленню існуючих, а також розробці нових підходів до оптимізації виробничих планів промислових підприємств. Проаналізовані переваги та недоліки однокритеріальної оптимізації виробничої програми промислових підприємств. Обґрунтовано необхідність і доцільність впровадження в практику їх роботи багатокритеріальної оптимізації як такої, що найкращим чином відповідає місії та цілям сучасного підприємства. Висунуто наукову гіпотезу про латентний, прихований характер глобального економічного критерію діяльності промислового підприємства, що не піддається безпосередньому вимірюванню. Він проявляється на поверхні явищ у вигляді локальних критеріїв економічного ефекту або ефективності, роль яких виконують звичайні показники господарської діяльності: бухгалтерський прибуток, обсяг реалізації продукції, частка ринку даного підприємства, рентабельність виробництва або реалізованої продукції тощо. Указане теоретичне положення дозволило розробити методичні засади пошуку Парето-оптимальних рішень задачі багатокритеріальної оптимізації виробничої програми промислового підприємства за допомогою багатовимірного статистичного методу, який базується на кластерному і регресійному аналізі. Запропоновано блок-схему процедури оптимізації виробничої програми промислового підприємства на основі багатовимірного статистичного методу. Розроблені методичні засади оптимізації внутрішньовиробничих планів апробовані на підприємствах харчової промисловості та машинобудування України.<br>Диссертация посвящена совершенствованию существующих, а также разработке новых подходов к оптимизации производственных планов промышленных предприятий. Проведенное исследование показало, что среди современных ученых нет единого мнения относительно проведения оптимизации производственной программы предприятия. Главные разногласия касаются проблемы выбора между традиционной однокритериальной и современной многокритериальной моделями оптимизации задач при планировании производства. В настоящее время наиболее распространенной является однокритериальная оптимизация производственной программы предприятия. При этом в качестве критерия оптимальности обычно применяется один из показателей бухгалтерской прибыли предприятия. Критики такого подхода справедливо указывают на его существенные недостатки и, прежде всего, на вынужденную упрощенность миссии предприятия, в том числе и экономической, полное игнорирование неэкономических целей субъектов хозяйствования. В результате полученные рекомендации часто теряют практическую ценность, и этим объясняется, в частности, почему реальная экономическая практика относится к ним весьма скептически. Многоцелевой подход к разработке производственной программы является одним из методов решения естественных противоречий, возникающих в планово-экономической работе, поскольку в большинстве случаев нецелесообразно направлять усилия на достижение только одной цели, часто локальной, но необходимо стремиться разработать качественный план, ориентированный на достижение нескольких важных целей – глобального критерия оптимальности промышленного предприятия. В работе выдвинуто научную гипотезу о латентном, скрытом характере глобального критерия деятельности промышленного предприятия, который не поддается непосредственному измерению. Он проявляется на поверхности экономических явлений в виде локальных критериев экономического эффекта и эффективности, роль которых выполняют обычные показатели хозяйственной деятельности: бухгалтерская прибыль, объем реализации продукции, доля рынка данного предприятия, рентабельность производства или реализованной продукции. Указанное теоретические положение позволило разработать методические основы поиска Парето-оптимальных решений задачи многокритериальной оптимизации производственной программы в рамках аддитивного подхода к определению глобального критерия деятельности промышленного предприятия. С помощью предложенного многомерного статистического метода, который базируется на кластерном и регрессионном анализе, оценивается роль отдельных локальных критериев в формировании глобального критерия. Это открыло возможность свести задачу много-критериальной оптимизации производственной программы промышленного к решению ряда задач однокритериальной линейной оптимизации с помощью симплекс-метода. Разработанные методические основы оптимизации внутрипроизводственных планов апробированы на предприятиях пищевой промышленности и машиностроения Украины.<br>The dissertation is devoted to the improvement of existing and development of new approaches to optimization of production plans of industrial enterprises. Analyses advantages and disadvantages of optimization by one criterion of the production program of the industrial enterprise. The necessity and expediency of introduction in practice of their work for multi-criteria optimization, which in the best way corresponds to the mission and objectives of a modern enterprise. Put forward a scientific hypothesis about latent, hidden nature of the global criterion of the activity of industrial enterprises, which cannot be measured directly. It appears on the surface of the economic phenomena in the form of local criteria of economic effect and efficiency, which perform the role of the usual indicators of economic activity of the accounting profit, sales volume, market share of the enterprise, profitability of production or sales. The theoretical position made it possible to develop methodological basics of search of Pareto-optimal solutions of the problem of multicriterion optimization of the production program of the industrial enterprises with the help of multivariate statistical method, which is based on the cluster and regression analysis. Offered a block diagram of the processes of optimization of the production program of the industrial enterprise on the basis of multivariate statistical method. Developed methodical fundamentals of optimization of intra-industrial plans approved at the enterprises of food industry and mechanical engineering of Ukraine.
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Khalid, Adeel S. "Development and Implementation of Rotorcraft Preliminary Design Methodology using Multidisciplinary Design Optimization." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14013.
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A formal framework is developed and implemented in this research for preliminary rotorcraft design using IPPD methodology. All the technical aspects of design are considered including the vehicle engineering, dynamic analysis, stability and control, aerodynamic performance, propulsion, transmission design, weight and balance, noise analysis and economic analysis. The design loop starts with a detailed analysis of requirements. A baseline is selected and upgrade targets are identified depending on the mission requirements. An Overall Evaluation Criterion (OEC) is developed that is used to measure the goodness of the design or to compare the design with competitors. The requirements analysis and baseline upgrade targets lead to the initial sizing and performance estimation of the new design. The digital information is then passed to disciplinary experts. This is where the detailed disciplinary analyses are performed. Information is transferred from one discipline to another as the design loop is iterated. To coordinate all the disciplines in the product development cycle, Multidisciplinary Design Optimization (MDO) techniques e.g. All At Once (AAO) and Collaborative Optimization (CO) are suggested. The methodology is implemented on a Light Turbine Training Helicopter (LTTH) design. Detailed disciplinary analyses are integrated through a common platform for efficient and centralized transfer of design information from one discipline to another in a collaborative manner. Several disciplinary and system level optimization problems are solved. After all the constraints of a multidisciplinary problem have been satisfied and an optimal design has been obtained, it is compared with the initial baseline, using the earlier developed OEC, to measure the level of improvement achieved. Finally a digital preliminary design is proposed. The proposed design methodology provides an automated design framework, facilitates parallel design by removing disciplinary interdependency, current and updated information is made available to all disciplines at all times of the design through a central collaborative repository, overall design time is reduced and an optimized design is achieved.
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(6615489), Gregory Vaughan. "Determining One-Shot Control Criteria in Western North American Power Grid with Swarm Optimization." Thesis, 2019.
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The power transmission network is stretched thin in Western North America. When generators or substations fault, the resultant cascading failures can diminish transmission capabilities across wide regions of the continent. This thesis examined several methods of<br><div>determining one-shot controls based on frequency decline in electrical generators to reduce the effect of one or more phase faults and tripped generators. These methods included criteria based on indices calculated from frequency measured at the controller location. These indices included criteria based on local modes and the rate of change of frequency.</div><br>This thesis primarily used particle swarm optimization (PSO) with inertia to determine a well-adapted set of parameters. The parameters included up to three thresholds for indices calculated from frequency. The researchers found that the best method for distinguishing between one or more phase faults used thresholds on two Fourier indices. Future lines of research regarding one-shot controls were considered.<br><div><br></div><div>A method that distinguished nearby tripped generators from one or more phase faults and load change events was proposed. This method used a moving average, a negative<br></div>threshold for control, and a positive threshold to reject control. The negative threshold for the moving average is met frequently during any large transient event. An additional index must be used to distinguish loss of generation events. This index is the maximum value of the moving average up to the present time and it is good for distinguishing loss of<br>generation events from transient swings caused by other events.<br><br><div>This thesis further demonstrated how well a combination of controls based on both rate of change of frequency and local modes reduces instability of the network as determined by both a reduction in RMSGA and control efficiency at any time after the events.</div><br>This thesis found that using local modes is generally useful to diagnose and apply one-shot controls when instability is caused by one or more phase faults, while when disconnected generators or reduced loads cause instability in the system, the local modes did not distinguish between loss of generation capacity events and reduced load events. Instead, differentiating based on the rate of change of frequency and an initial upward deflection of frequency or an initial downward deflection of frequency did distinguish between these types of events.
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Vaughan, Gregory AE. "Determining One-Shot Control Criteria in Western North American Power Grid with Swarm Optimization." Thesis, 2019. http://hdl.handle.net/1805/18921.
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Indiana University-Purdue University Indianapolis (IUPUI)<br>The power transmission network is stretched thin in Western North America. When
generators or substations fault, the resultant cascading failures can diminish transmission capabilities across wide regions of the continent. This thesis examined several methods of determining one-shot controls based on frequency decline in electrical generators to reduce the effect of one or more phase faults and tripped generators. These methods included criteria based on indices calculated from frequency measured at the controller location. These indices included criteria based on local modes and the rate of change of frequency.
This thesis primarily used particle swarm optimization (PSO) with inertia to determine
a well-adapted set of parameters. The parameters included up to three thresholds for indices calculated from frequency. The researchers found that the best method for distinguishing between one or more phase faults used thresholds on two Fourier indices. Future lines of research regarding one-shot controls were considered.
A method that distinguished nearby tripped generators from one or more phase faults
and load change events was proposed. This method used a moving average, a negative
threshold for control, and a positive threshold to reject control. The negative threshold
for the moving average is met frequently during any large transient event. An additional
index must be used to distinguish loss of generation events. This index is the maximum
value of the moving average up to the present time and it is good for distinguishing loss of generation events from transient swings caused by other events.
This thesis further demonstrated how well a combination of controls based on both rate
of change of frequency and local modes reduces instability of the network as determined
by both a reduction in RMSGA and control efficiency at any time after the events.
This thesis found that using local modes is generally useful to diagnose and apply one-shot controls when instability is caused by one or more phase faults, while when disconnected generators or reduced loads cause instability in the system, the local modes did not distinguish between loss of generation capacity events and reduced load events. Instead, differentiating based on the rate of change of frequency and an initial upward deflection of frequency or an initial downward deflection of frequency did distinguish between these types of events.
Books on the topic "Optimization by one criterion and multi-criteria optimization"
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A, Coello Coello Carlos, Hernández Aguirre Arturo, and Zitzler Eckart, eds. Evolutionary multi-criterion optimization: Third international conference, EMO 2005, Guanajuanto, Mexico, March 9-11, 2005 : proceedings. Springer, 2005.
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Ovsyannikov, Evgeniy, and Tamara Gaytova. Optimal control of traction electric drives. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1141767.
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The monograph considers various types of traction electric drives of motor vehicles intended for operation in urban conditions. Mathematical models of these systems are proposed. On the basis of parametric optimization and graphoanalytic method, a method of joint control of electric drives according to the criteria of minimum losses and maximum overload capacity, taking into account possible restrictions on the resources of power elements, has been developed.
 For a wide range of readers interested in improving motor vehicles. It will be useful for students, postgraduates and teachers of engineering and technical universities.
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Bartoli, Gianni, Francesco Ricciardelli, Anna Saetta, and Vincenzo Sepe, eds. Performance of Wind Exposed Structures. Firenze University Press, 2006. http://dx.doi.org/10.36253/978-88-6453-156-4.
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PERBACCO (a free Italian acronym for Life-cycle Performance, Innovation and Design Criteria for Structures and Infrastructures Facing Æolian and Other Natural Hazards) is a research project partly funded by the Italian Ministry for University (MIUR) in the PRIN (Progetti di Ricerca di Interesse Nazionale) framework, for the years 2004-05.Within the project, a first attempt has been made to integrate different disciplines aiming at an overall optimization of the performance of a wide range of wind exposed structures and infrastructures, with consequent benefi cial impact on the society.The overall objectives were (a) to provide unifi ed concepts for "expected performance" and "risks induced by æolian and other natural hazards", to be applied to structures and infrastructures over their whole life-cycle, such to be acceptable to stakeholders in the construction process (i.e. from the owner to the end-user), (b) to provide models and methodologies for dynamic monitoring of the performance of structures and infrastructures, to be integrated in appropriately designed procedures, and (c) to collect, refi ne, fi le and disseminate the knowledge available on a European basis, concerning the performance of wind-exposed structures and facilities, in a way such to be of use to Construction Industry. This volume summarises the main results obtained during the Project, with each Section addressing a different class of problems, to which many research Units have contributed. A list of papers containing the main results of the research activities carried out within the Project is also provided in each Section.
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Miettinen, Kaisa, Carlos A. Coello Coello, Kathrin Klamroth, et al. Evolutionary Multi-Criterion Optimization: 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings. Springer, 2019.
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Carlos A. Coello Coello (Editor), Arturo Hernández Aguirre (Editor), and Eckart Zitzler (Editor), eds. Evolutionary Multi-Criterion Optimization: Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings (Lecture Notes in Computer Science). Springer, 2005.
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(Editor), Carlos M. Fonseca, Peter J. Fleming (Editor), Eckart Zitzler (Editor), Kalyanmoy Deb (Editor), and Lothar Thiele (Editor), eds. Evolutionary Multi-Criterion Optimization: Second International Conference, EMO 2003, Faro, Portugal, April 8-11, 2003, Proceedings (Lecture Notes in Computer Science). Springer, 2003.
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(Editor), Eckart Zitzler, Kalyanmoy Deb (Editor), Lothar Thiele (Editor), Carlos A. Coello Coello (Editor), and David Corne (Editor), eds. Evolutionary Multi-Criterion Optimization: First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001 Proceedings (Lecture Notes in Computer Science). Springer, 2001.
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(Editor), Shigeru Obayashi, Kalyanmoy Deb (Editor), Carlo Poloni (Editor), Tomoyuki Hiroyasu (Editor), and Tadahiko Murata (Editor), eds. Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings (Lecture Notes in Computer Science). Springer, 2007.
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Marzouka, George R., Lynda Otalvaro-Orozco, and Robert C. Hendel. Guidelines and Appropriate Use Criteria. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0033.
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Multiple documents have been published regarding the use of radionuclide imaging which attempt to outline the applications of SPECT and PET cardiac imaging and to offer guidance in not only how these techniques are performed but also when these tests should be used. These guidance documents, which include position papers, consensus documents, white papers, clinical practice guidelines (CPG), and appropriate use criteria (AUC) serve a number of purposes and are applicable to various health care providers. The focus of this chapter is on CPG and AUC, as these provide the basis for care optimization and reimbursement decisions and are the most widely accepted documents regarding radionuclide-imaging utilization. Throughout this book, each chapter has focused on the best practice of nuclear cardiology, emphasizing methods that will not only improve image quality but also provide significant clinical value. This chapter will emphasize the selection of patients for radionuclide imaging and focus on how best to use these resources to improve the outcome of patients with known or suspected heart disease.
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Braginsky, O. B., G. M. Tatevosyan, S. V. Sedova, and R. Sh Magomedov. The economic mechanism of development programs: the interaction of economic instruments. CEMI RAS, 2020. http://dx.doi.org/10.33276/978-5-8211-0787-9.
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The preprint presents the economic mechanism of investment programs and analyzes its components: specific indicators for evaluating the investment part of developmental programs are proposed; a specific pricing for products manufactured as a result of the implementation of investment projects; a system of financing developmental programs based on the optimal ratio of budget funds, reinvested profits and credit. The empirical base of the study is made up of materials from the petrochemical complex. In this regard, the world trends in the development of petrochemical chemistry and the situation in the petrochemical complex of Russia are considered. Recommendations are given regarding the development of the petrochemical industry of Russia. A multi-criteria optimization model that implements the presented economic mechanism and is intended to form variants of the structure of the governmental program for industrial and regional (territorial) development is developed. The results of a computer experiment are presented. Variants of a conditional program for the development of the Russian oil and gas chemical complex showing the positive impact of the proposed economic mechanism on the structure and indicators of the program are developed.
Book chapters on the topic "Optimization by one criterion and multi-criteria optimization"
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Bestle, D., and P. Eberhard. "Multi–Criteria Multi–Model Design Optimization." In IUTAM Symposium on Optimization of Mechanical Systems. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0153-7_5.
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Uzun, Berna, and Dilber Uzun Ozsahin. "Vlse Criterion Optimization and Compromise Solution in Serbian (VIKOR)." In Application of Multi-Criteria Decision Analysis in Environmental and Civil Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64765-0_7.
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Filcek, Grzegorz, and Maciej Hojda. "Multi-criteria Optimization of Freight Parking Planning Along a Single Corridor." In Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65796-3_10.
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Ptchelintsev, A. V., and V. S. Shenfel’d. "PSI Method and Multi-Criteria Optimization of Objects with the Use of Finite Element Models." In IUTAM Symposium on Optimization of Mechanical Systems. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0153-7_31.
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Rio, Simon, Alain Charcosset, Tristan Mary-Huard, Laurence Moreau, and Renaud Rincent. "Building a Calibration Set for Genomic Prediction, Characteristics to Be Considered, and Optimization Approaches." In Methods in Molecular Biology. Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2205-6_3.
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AbstractThe efficiency of genomic selection strongly depends on the prediction accuracy of the genetic merit of candidates. Numerous papers have shown that the composition of the calibration set is a key contributor to prediction accuracy. A poorly defined calibration set can result in low accuracies, whereas an optimized one can considerably increase accuracy compared to random sampling, for a same size. Alternatively, optimizing the calibration set can be a way of decreasing the costs of phenotyping by enabling similar levels of accuracy compared to random sampling but with fewer phenotypic units. We present here the different factors that have to be considered when designing a calibration set, and review the different criteria proposed in the literature. We classified these criteria into two groups: model-free criteria based on relatedness, and criteria derived from the linear mixed model. We introduce criteria targeting specific prediction objectives including the prediction of highly diverse panels, biparental families, or hybrids. We also review different ways of updating the calibration set, and different procedures for optimizing phenotyping experimental designs.
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Gordon, T. J. "An Integrated Strategy for the Control of Complex Mechanical Systems Based on Sub-System Optimality Criteria." In IUTAM Symposium on Optimization of Mechanical Systems. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0153-7_13.
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Müller, Tim M., Lena C. Altherr, Marja Ahola, Samuel Schabel, and Peter F. Pelz. "Multi-Criteria Optimization of Pressure Screen Systems in Paper Recycling – Balancing Quality, Yield, Energy Consumption and System Complexity." In EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97773-7_105.
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Roy, Priyanka, and Geetanjali Panda. "Sufficient Optimality Criteria for Optimization Problem Involving Pseudoconvex Interval Objective Function." In Proceedings of the Seventh International Conference on Mathematics and Computing. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6890-6_50.
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Mohanasundaram, P., F. Gillot, S. Besset, and K. Shimoyama. "Sensitivity of Shape Parameters of Brake Systems Under Squeal Noise Criteria." In EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97773-7_77.
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Filcek, Grzegorz, and Jacek Żak. "The Multiple Criteria Optimization Problem of Joint Matching Carpoolers and Common Route Planning." In Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part III. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46589-0_18.
Full textConference papers on the topic "Optimization by one criterion and multi-criteria optimization"
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Zitzler, Eckart. "Two Decades Of Evolutionary Multi-Criterion Optimization: A Glance Back And A Look Ahead." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369107.
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Marti, Luis, Jesus Garcia, Antonio Berlanga, and Jose M. Molina. "An approach to stopping criteria for multi-objective optimization evolutionary algorithms: The MGBM criterion." In 2009 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2009. http://dx.doi.org/10.1109/cec.2009.4983090.
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Nejatolahi, Mostafa, and Hoseyn Sayaadi. "Various Criteria in Optimization of a Vapor Compression Refrigeration System." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24510.
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A cooling tower assisted vapor compression refrigeration machine has been considered for optimization with multiple criteria. Two objective functions including the total exergy destruction of the system (as a thermodynamic criterion) and the total product cost of the system (as an economic criterion), have been considered simultaneously. A thermodynamic model based on the energy and exergy analyses and an economic model according to the Total Revenue Requirement (TRR) method have been presented. Three optimized systems including a single-objective thermodynamic optimized, a single-objective economic optimized and a multi-objective optimized are obtained. In the case of multi-objective optimization, an example of decision-making process for selection of the final solution from the Pareto frontier has been presented. The exergetic and economic results obtained for three optimized systems have been compared and discussed. The results have shown that the multi-objective design more acceptably satisfies generalized engineering criteria than other two single-objective optimized designs.
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Hashemnia, Saeed, and Mohammad T. Ahmadian. "Different Optimization Criteria for Vehicle Seat Suspension Control: Position Versus Acceleration." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86732.
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This paper addresses the effect of different optimization criteria for the control purpose of vehicle suspension. In the present study, active vibration control system for a 5 degree-of-freedom (DoF) pitch-plane suspension model with bounce and pitch motions is investigated. In the proposed vehicle model, the impact of the wheel-axle-brake assemblies’ masses is also considered. The developed model is controlled using a fuzzy logic controller (FLC) to minimize the vibration of the driver’s seat. The controller is designed to control the applied force to the seat. Furthermore, in order to determine the optimal value of fuzzy system parameters, genetic algorithm (GA) optimization search is used based on minimizing both vibrations and accelerations of the driver’s seat. In other words, two different criteria are chosen for optimization of the controller: minimizing either absolute displacement or absolute acceleration which is related to ride comfort. In each case, the simulation is implemented and the results are presented. It is shown that optimization according to only one criterion may lead to undesirable results in other system parameters. In addition, it is demonstrated that considering absolute displacement as the only factor to be minimized is ineffective. Finally, another criterion which is a combination of the two previous criteria has been suggested and tested and the obtained results are presented. The combinational criterion can suppress the vibration as well as decreasing the vehicle acceleration.
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Zhang, Xiaoli, and Carl A. Nelson. "Multiple-Criteria Kinematic Optimization for the Design of Spherical Serial Mechanisms Using Genetic Algorithms." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28368.
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A new kinematic design methodology is presented for optimization of spherical serial mechanisms. This method integrates multiple criteria (workspace, manipulability, and size) linearly in one objective function. All these criteria are optimized simultaneously to lead to a more realistic solution. By changing the priorities of each criterion, different sets of desirable kinematic performance can be expressed. The global manipulability and the uniformity of manipulability over the workspace are combined in a single index to improve the synthesis results. The optimization result for a spherical bevel-geared mechanism using a genetic algorithm demonstrated that the proposed method effectively improves the quality of the optimum solution and provides insight into the workings of the mechanism. In addition, this flexible and adaptable methodology may also be extended for use in general optimization for linkage synthesis.
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Joo, Chang B., and Joo H. Kim. "Criteria and Motion Generation for Multi-Segmental Legged Balancing." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71360.
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This paper investigates the effect of upper body on balancing by comparing balanced state domain in the phase space. Biped mechanism is simplified to multi-segment model which consists of one stance foot, leg, and upper body in sagittal plane. System parameters such as link mass and link length are chosen appropriately based on human anthropometry data. In addition to the system parameters, the necessary and sufficient conditions for balancing are implemented as constraints. Proposed algorithm iteratively solves nonlinear constrained optimization problem to find velocity extrema for a given set of joint variables and a maximum actuation torque. The balanced state domain of an actively controlled swinging arm demonstrates larger domain compared to the domain without swinging arm. While similar results are shown by other various approaches, the proposed algorithm demonstrates identification of the balanced state domain in a deterministic scheme using numerical optimization.
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Žanić, Vedran, Karlo Pirić, and Stanislav Kitarović. "Reliability and Robustness Based Design Attributes for Multi-Criteria Decision Making." In ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-10095.
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Novel design methodology with inclusion of reliability and robustness-based design criteria is presented. Robustness is defined as the insensitivity of a design attribute to uncontrollable design parameters. The developed design procedure for the concept design phase is divided into two basic, coordinated tasks: (1) multi-criteria topology/geometry optimization of the ship structural model; (2) scantlings / material multi-criteria optimization of structural panels. Reliability criteria and robustness of design attributes are applied as relative measures of quality, besides standard design attributes such as costs and weight. They are used in generation of Pareto-optimal design variants. Reliability attributes used for the panel design are compared with respect to fidelity and computational efficiency. A novel method for fast reliability calculations is presented using dimension reduction method (DRM) as implemented into FASTREL software. The method is verified with respect to accuracy and speed on the box girder design and panel design with CalREL methods (MC, FORM). The design procedure steps are executed in the predefined sequence of design sub-problems, using the fast and balanced collection of analysis and synthesis modules/methods of the MAESTRO/OCTOPUS design system. They are as follows: • Probabilistic determination of design loads; • Calculation of the structural serviceability and ultimate strength criteria on the panel (macro-element) level; • Calculation of the cross section ultimate longitudinal strength criterion; • Calculation of reliability and robustness measures on the panel level (safety) and on the global level. Other design attributes (initial cost, structural weight, etc.) are also determined; • Generation of the Pareto frontier for the selected test structure based upon the cost–safety design paradigm; • Generation of insight into the multilevel optimization process with graphic presentation of designs in design and attribute spaces. Practical application of the developed concept design methodology and of the design environment to the structural design of modern multi-deck ship elements (panels) is presented for verification/validation of accuracy and speed of FASTREL module.
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Rios, Oziel, and Delbert Tesar. "Design Criteria for Serial Chains Based on Kinetic Energy Partition Values." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2169.
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In this article, a description of the kinetic energy partition values (or energy ratios) of serial chain mechanisms, as well as their rates of change, are presented. These energy ratios are indicators of the kinetic energy distribution within the system and they exploit the structure of the effective inertia matrix. The rates of change of the kinetic energy partition values with respect to the input parameters of the system indicate the sensitivity of change of the kinetic energy, meaning that a high value for the partition value rate of change together with a high operational state implies that the amount of kinetic energy flowing in the system is large further implying a loss of precision in the system due to large inertial torques applied about the joint axes. Two design criteria, one based on the kinetic energy partition values and another based on their rates of change, are presented. A two degree-of-freedom (DOF) mechanism is used to illustrate the solution of a multi-criteria design optimization problem where three design criteria are considered: a kinetic energy partition value criterion, a force capability criterion and an effective mass criterion. The design variables for the optimization problem are the transmission reduction ratios of the actuators. It is shown that the reduction ratios significantly influence the kinetic energy distribution within the system due to the high levels of kinetic energy in the rotary mass of the prime movers.
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Yang, R. J. "Topology Optimization With Multiple Constraints." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0052.
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Abstract Topology optimization is used for determining the best layout of structural components to achieve predetermined performance goals. The density method which uses material density of each finite element as the design variable is employed. Unlike the most common approach which uses the optimality criteria methods, the topology design problem is formulated as a general optimization problem and is solved by the mathematical programming method. One of the major advantages of this approach is its generality; thus it can solve various problems, e.g. multi-objective and multi-constraint problems. In this study, the structural weight is chosen as the objective function and structural responses such as the compliances, displacements, and the natural frequencies are treated as the constraints. The MSC/NASTRAN finite element code is employed for response analyses. One example with four different optimization formulations was used to demonstrate this approach.
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Cheng, Shuo, and Mian Li. "Multi-Objective Robust Optimization Using Differential Evolution and Sequential Quadratic Programming." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12293.
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Multi-Objective Robust Optimization (MORO) can find Pareto solutions to multi-objective engineering problems while keeping the variation of the solutions being within an acceptable range when parameters vary. While the literature reports on many techniques in MORO, few papers focus on the implementation of Multi-Objective Differential Evolution (MODE) for robust optimization and the performance improvement of solutions. In this paper, MODE is first modified and implemented for robust optimization, formulating a new MODE-RO algorithm. To improve the solutions’ quality of MODE-RO, a new hybrid MODE-SQP-RO algorithm is further proposed, where Sequential Quadratic Programming (SQP) is incorporated to enhance the local search. In the hybrid algorithm, two criteria, indicating the convergence speed of MODE-RO and the switch between MODE and SQP are proposed respectively. One numerical and one engineering examples are tested to demonstrate the applicability and performance of the proposed algorithms. The results show that MODE-RO is effective in solving Multi-Objective Robust Optimization problems; while on the average, MODE-SQP-RO significantly improves the quality of robust solutions with comparable numbers of function evaluations.
Reports on the topic "Optimization by one criterion and multi-criteria optimization"
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Rosocha, L. A., and R. A. Korzekwa. First report on non-thermal plasma reactor scaling criteria and optimization models. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/658275.
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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.
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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detection, refractometer and a scale (mass). Data were analyzed and provided input for five classification models. Chlorophyll from fluorescence was found to give the best estimation for ripeness stage while the combination of machine vision and firmness from impact performed best for quality sorting. A new algorithm was developed to estimate and minimize training size for supervised classification. A new criteria was established to choose a training set such that a recurrent auto-associative memory neural network is stabilized. Moreover, this method provides for rapid and accurate updating of the classifier over growing seasons, production environments and cultivars. Different classification approaches (parametric and non-parametric) for grading were examined. Statistical methods were found to be as accurate as neural networks in grading. Classification models by voting did not enhance the classification significantly. A hybrid model that incorporated heuristic rules and either a numerical classifier or neural network was found to be superior in classification accuracy with half the required processing of solely the numerical classifier or neural network. In Israel: A multi-sensing approach utilizing non-destructive sensors was developed. Shape, color, stem identification, surface defects and bruises were measured using a color image processing system. Flavor parameters (sugar, acidity, volatiles) and ripeness were measured using a near-infrared system and an electronic sniffer. Mechanical properties were measured using three sensors: drop impact, resonance frequency and cyclic deformation. Classification algorithms for quality sorting of fruit based on multi-sensory data were developed and implemented. The algorithms included a dynamic artificial neural network, a back propagation neural network and multiple linear regression. Results indicated that classification based on multiple sensors may be applied in real-time sorting and can improve overall classification. Advanced image processing algorithms were developed for shape determination, bruise and stem identification and general color and color homogeneity. An unsupervised method was developed to extract necessary vision features. The primary advantage of the algorithms developed is their ability to learn to determine the visual quality of almost any fruit or vegetable with no need for specific modification and no a-priori knowledge. Moreover, since there is no assumption as to the type of blemish to be characterized, the algorithm is capable of distinguishing between stems and bruises. This enables sorting of fruit without knowing the fruits' orientation. A new algorithm for on-line clustering of data was developed. The algorithm's adaptability is designed to overcome some of the difficulties encountered when incrementally clustering sparse data and preserves information even with memory constraints. Large quantities of data (many images) of high dimensionality (due to multiple sensors) and new information arriving incrementally (a function of the temporal dynamics of any natural process) can now be processed. Furhermore, since the learning is done on-line, it can be implemented in real-time. The methodology developed was tested to determine external quality of tomatoes based on visual information. An improved model for color sorting which is stable and does not require recalibration for each season was developed for color determination. Excellent classification results were obtained for both color and firmness classification. Results indicted that maturity classification can be obtained using a drop-impact and a vision sensor in order to predict the storability and marketing of harvested fruits. In conclusion: We have been able to define quantitatively the critical parameters in the quality sorting and grading of both fresh market cantaloupes and tomatoes. We have been able to accomplish this using nondestructive measurements and in a manner consistent with expert human grading and in accordance with market acceptance. This research constructed and used large databases of both commodities, for comparative evaluation and optimization of expert system, statistical and/or neural network models. The models developed in this research were successfully tested, and should be applicable to a wide range of other fruits and vegetables. These findings are valuable for the development of on-line grading and sorting of agricultural produce through the incorporation of multiple measurement inputs that rapidly define quality in an automated manner, and in a manner consistent with the human graders and inspectors.
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McElwain, Terry, Eugene Pipano, Guy Palmer, Varda Shkap, Stephen Hines, and Douglas Jasmer. Protection of Cattle Against Babesiosis: Immunization with Recombinant DNA Derived Apical Complex Antigens of Babesia bovis. United States Department of Agriculture, 1995. http://dx.doi.org/10.32747/1995.7612835.bard.
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Bovine babesiosis caused by Babesia bovis continues to be a significant deterrent to global livestock production. Current control methods have both biological and technical drawbacks that have stimulated research on improved methods of vaccination. This BARD project has focused on characterization of candidate Babesia bovis vaccine antigens located in the apical complex, a unique group of subcellular organelles - including rhoptries, micronemes, and spherical bodies - involved in the invation of erythrocytes. Spherical bodies and rhoptries were partially purified and their contents characterized using monoclonal antibodies. Existing and newly developed monoclonal antibodies bound to antigens in the spherical body, rhoptry, merozoite membrane, and infected erythrocyte membrane. In an initial immunization study using biologically cloned strains, it was demonstrated that strain-common epitopes are important for inducing immune protection against heterologous challenge. Rhoptry-associated antigen 1 (RAP-1) had been demonstrated previously to induce partial immune protection, fulfilled criteria of broad interstrain B and T cell epitope conservation, and thus was further characterized. The RAP-1 gene family consists of at least two gene copies, is homologous to the RAP-1 gene family in B. bigemina, and contains significant sequence similarity to other erythroparasitic protozoan candidate vaccine antigens, including the apical membrane antigen of Plasmodium falciparum. A new RAP-1 monoclonal antibody was developed that inhibits merozoite growth in vitro, demonstrating the presence of a RAP-1 neutralization sensitive domain. Based on these observations, cattle were immunized with Mo7 (Mexico) strain recombinant RAP-1 representing one of the two gene copies. All cattle responded with variable levels of serum antibodies inhibitory to heterologous Israel strain merozoite growth in vitro, and RAP-1 specific T lymphocytes that proliferated when stimulated with either homologous or heterologous native parasite antigen. Minimal protection from clinical disease was present after virulent Israel (heterologous) strain B. bovis challenge. In total, the results support the continued development of RAP-1 as a vaccine antigen, but indicate that additional information about the native structure and function of both RAP-1 gene copies, including the relationship of conserved and polymorphic sequences to B and T cell lepitopes relevant for protection, is necessary for optimization of RAP-1 as a vaccine component.