Journal articles on the topic 'Optimization by one criterion and multi-criteria optimization'

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1

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
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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
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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
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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 optimizati
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Guseynov, R. V., M. R. Guseynova, and K. A. Alieva. "Some issues of multi-criteria optimization of parameters of complex systems." Herald of Dagestan State Technical University. Technical Sciences 50, no. 2 (2023): 67–75. http://dx.doi.org/10.21822/2073-6185-2023-50-2-67-75.

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Objective. The purpose of the study is to substantiate the design criteria for optimality, taking into account the multi-criteria purpose and functioning of the object.Method. The study was carried out on the basis of multicriteria optimization methods, the hierarchy analysis method, the convolution method, and heuristic methods.Result. The paper describes general problems of multicriteria optimization of mechanical systems. The importance of the problem of substantiating the design criteria for optimality, taking into account the multi-criteria purpose and functioning of the object, and intro
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Kabildjanov, Alexander, Charos Okhunboboyeva, and Sarvarbek Ismailov. "Intelligent decision support in the optimization of irrigation systems in agriculture." E3S Web of Conferences 365 (2023): 01013. http://dx.doi.org/10.1051/e3sconf/202336501013.

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The issues of determining the optimal values of the regulatory parameters of irrigation systems engaged in the cultivation of agricultural crops are considered. Following the requirements of a market economy, the main emphasis is placed on taking into account two types of criteria: maximizing the yield of agricultural crops and minimizing monetary costs. The proposed method for solving the multi-criteria optimization problem is based on the combination of the minimax criterion and the medium-step convolution, which makes it possible to scalarize the vector optimality criterion with access to s
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Zakharov, Denys, Oleksii Palant, Oleg Proskurnin, Karina Belokon, Olexander Krasnoshtan, and Serhii Tsymbal. "Multi-criterion optimization of urban public electric transport routes." Eastern-European Journal of Enterprise Technologies 3, no. 3 (135) (2025): 78–85. https://doi.org/10.15587/1729-4061.2025.330363.

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The object of this study is the public transport route network. The task addressed is to choose optimal transport routes. Existing scientific research in this field is mainly aimed at increasing its reliability and reducing economic risks. The social and environmental aspects are considered separately, not in connection with technical and economic issues. The study proposes a comprehensive approach to solving the task of urban transport operation. To solve the problem of multi-criteria optimization of the transport network, the use of the hierarchy analysis method (HAM), which is based on expe
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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
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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 resea
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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 c
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Tkachenko, Olha, and Oleksandr Golubenko. "Optimization of multi-request single-processor COMPUTING." Advanced Information Technology, no. 1 (2) (2023): 32–37. http://dx.doi.org/10.17721/ait.2023.1.05.

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Background. The effectiveness of multi-query execution in single-processor computer system databases is considered. One of the methods of increasing the performance of databases of computer systems is the simultaneous execution of several queries that form a multi-query. Methods. Methods of analysis and criterial optimization are used in the paper. Results. The paper analyzes the processing of a conjunctive multi-query (queries are formed by the conjunction of elementary queries, from which a number of elementary queries are repeatedly included in the queries). With the growing importance of o
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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 s
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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 o
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Bugaev, Yu V., L. A. Korobova, S. V. Polyanskikh, and G. N. Egorova. "Multi-criteria optimization of food production by an example of optimization of the process of rendering poultry fat in the presence of electroactivated liquid." IOP Conference Series: Earth and Environmental Science 1052, no. 1 (2022): 012132. http://dx.doi.org/10.1088/1755-1315/1052/1/012132.

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Abstract To date, in the production and management of the food industry, the mathematical foundations of solving problems according to one criterion (one-criterion optimization) have been well studied. However, in various areas of engineering solutions, there are multicriteria problems in which a system or process must be optimized according to several criteria simultaneously. Since individual criteria usually conflict with each other, as a rule, no set of input parameters would achieve the optimum of all criteria simultaneously. In this regard, there is uncertainty in the choice of the optima
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Apriaskar, Esa, Dhidik Prastiyanto, Akhyar Abdillah Manaf, Ilya Amelia, and Fahmizal. "Multi-criteria Genetic Algorithm Optimization Approach for Balancing Bicopter Control." IOP Conference Series: Earth and Environmental Science 1203, no. 1 (2023): 012027. http://dx.doi.org/10.1088/1755-1315/1203/1/012027.

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Abstract Efforts to find the best controller for stabilizing a flying vehicle have been widely developed in recent years. This work aims to join the development track by exploring the use of genetic algorithm (GA) to find the most optimum controller parameter considering settling time and overshoot criteria. Roll attitude control of a balancing bicopter was chosen as the applied plant to confirm the designed method. The controller structure applied in this research is an ideal proportional-integral (PI) controller. Two equations considering the highlighted criteria for the objective function o
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Yang, Shuaijie, Xiuting Sun, Jiawei Qian, Jian Xu, and Kaixiang Li. "Design, Optimization, and Realization of a Magnetic Multi-Layer Quasi-Zero-Stiffness Isolation Platform Supporting Different Loads." Materials 18, no. 7 (2025): 1676. https://doi.org/10.3390/ma18071676.

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This study presents a Multi-layer Quasi-Zero-Stiffness (ML-QZS) vibration isolation platform for variable loads in large-amplitude and low-frequency dynamic environments. In one isolation mount of the proposed ML-QZS isolation platform, Multi-layer permanent magnets are constructed to generate discontinuous Multi-layer negative-stiffness regions. The first design criterion is to achieve the low-frequency and wide-amplitude vibration isolation range for different loads. The second design criterion is carried out for the dynamic performances of transient and steady states. Since both structural
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Voronin, A. M., P. I. Melnychenko, I. V. Chuba, S. V. Kulyk, and Y. O. Oliinyk. "Formalized method of the solution of multi-criteria problems." Problems of Informatization and Management 3, no. 75 (2023): 8–15. http://dx.doi.org/10.18372/2073-4751.75.18011.

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Multi-criteria (vector) optimization involves finding a set (Pareto area) of acceptable solutions. You usually only need to choose one of them. Since the points of the Pareto set are formally incomparable, in order to solve the problem, it is fundamentally necessary to involve information about the preferences of the person making the decision. When solving a specific problem of vector optimization, the decision-maker creates his own model of the objective function (utility function) according to his preferences. Thus, the solution of multi-criteria problems is subjective in nature. The articl
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Kukharchyk, A. G. "TRANSPORT TASK OF OPTIMIZATION OF COSTS WITH MULTIMODAL TRANSPORTATION." Economic innovations 19, no. 2(64) (2017): 157–63. http://dx.doi.org/10.31520/ei.2017.19.2(64).157-163.

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In the article, the questions of cost optimization in solving the transport problem using mathematical models are considered. A group of criteria that have the greatest influence in solving the transport problem is determined. The mathematical model of the transport problem allows us to describe a multitude of situations that arise in multimodal transport. The formulation of the goal is optimization - a task more economical, on the other - knowledge of economic and mathematical methods can more effectively solve this problem. The rationale for choosing an optimization criterion is a procedure
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Masich, Igor S., Margarita A. Kulachenko, Predrag S. Stanimirović, et al. "Formation of Fuzzy Patterns in Logical Analysis of Data Using a Multi-Criteria Genetic Algorithm." Symmetry 14, no. 3 (2022): 600. http://dx.doi.org/10.3390/sym14030600.

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The formation of patterns is one of the main stages in logical data analysis. Fuzzy approaches to pattern generation in logical analysis of data allow the pattern to cover not only objects of the target class, but also a certain proportion of objects of the opposite class. In this case, pattern search is an optimization problem with the maximum coverage of the target class as an objective function, and some allowed coverage of the opposite class as a constraint. We propose a more flexible and symmetric optimization model which does not impose a strict restriction on the pattern coverage of the
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Fedorov, K. M., R. M. Ganopolsky, A. Ya Gilmanov, and A. P. Shevelev. "OPTIMIZATION PROCEDURE FOR CONFORMANCE CONTROL." Vestnik of Samara University. Natural Science Series 29, no. 1 (2023): 74–88. http://dx.doi.org/10.18287/2541-7525-2023-29-1-74-88.

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The article is devoted to the development of an optimization procedure for conformance control treatment. Currently, due to the significant share of reservoirs with high water cut, it is relevant to use methods that allow reducing the rate of production water cut increase. One of the most common methods to do this is to improve conformance by injecting suspension into the reservoir. The classical model of deep bed suspension migration has shown itself well for calculating the technological parameters of treatment, but it does not contain criteria for optimizing the process. The introduction of
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Gaspars-Wieloch, Helena. "From Goal Programming for Continuous Multi-Criteria Optimization to the Target Decision Rule for Mixed Uncertain Problems." Entropy 24, no. 1 (2021): 51. http://dx.doi.org/10.3390/e24010051.

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Goal programming (GP) is applied to the discrete and continuous version of multi-criteria optimization. Recently, some essential analogies between multi-criteria decision making under certainty (M-DMC) and scenario-based one-criterion decision making under uncertainty (1-DMU) have been revealed in the literature. The aforementioned similarities allow the adjustment of GP to an entirely new domain. The aim of the paper is to create a new decision rule for mixed uncertain problems on the basis of the GP methodology. The procedure can be used by pessimists, optimists and moderate decision makers.
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Mohammadi, Nader, and Mehrdad Nasirshoaibi. "Optimization of vibrational absorber rested on linear structures under arbitrary vibrations." International Journal of Engineering & Technology 4, no. 3 (2015): 446. http://dx.doi.org/10.14419/ijet.v4i3.4784.

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Vibrational absorber is one of the common approaches for vibration control in structures. In this article, optimization criteria for mechanical systems under arbitrary vibrations is presented based on a multi-purpose method whose objective function vector collects the efficiency of arbitrary reliability and indexes of structure costs. The criterion is different from conventional criteria and standards used to design structures subjected to arbitrary vibrations and is based on minimizing the changes in displacement or response acceleration of the main structure, regardless of the required funct
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Gao, Hongmin, Yao Yang, Xiaoke Zhang, Chenming Li, Qi Yang, and Yongchang Wang. "Dimension Reduction for Hyperspectral Remote Sensor Data Based on Multi-Objective Particle Swarm Optimization Algorithm and Game Theory." Sensors 19, no. 6 (2019): 1327. http://dx.doi.org/10.3390/s19061327.

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Information entropy and interclass separability are adopted as the evaluation criteria of dimension reduction for hyperspectral remote sensor data. However, it is rather single-faceted to simply use either information entropy or interclass separability as evaluation criteria, and will lead to a single-target problem. In this case, the chosen optimal band combination may be unfavorable for the improvement of follow-up classification accuracy. Thus, in this work, inter-band correlation is considered as the premise, and information entropy and interclass separability are synthesized as the evalua
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Mauro, Gerardo Maria, Marcello Iasiello, Nicola Bianco, Wilson K. S. Chiu, and Vincenzo Naso. "Mono- and Multi-Objective CFD Optimization of Graded Foam-Filled Channels." Materials 15, no. 3 (2022): 968. http://dx.doi.org/10.3390/ma15030968.

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Graded foam-filled channels are a very promising solution for improving the thermal performance of heat sinks because of their customized structures that leave large amounts of room for heat transfer enhancement. Accordingly, this paper proposes a comprehensive optimization framework to address the design of such components, which are subjected to a uniform heat flux boundary condition. The graded foam is achieved by parameterizing the spatial distributions of porosity and/or Pores Per Inch (PPI). Mono- and multi-objective optimizations are implemented to find the best combination of the foam’
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Zavadskas, Edmundas Kazimieras, Dragan Pamučar, Željko Stević, and Abbas Mardani. "Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes." Symmetry 12, no. 6 (2020): 986. http://dx.doi.org/10.3390/sym12060986.

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The success of any activity and process depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction. That is, the ability to properly define a set of success indicators. The application of the developed new multi-criteria decision-making (MCDM) methods can be eliminated or decreased by decision-makers’ subjectivity, which leads to consistency or symmetry in the weight values of the criteria. In this Special Issue, 40 research papers and one review study co-authored by 137 researchers from 23 different countries explore aspects of multi-criteria modeling and op
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Kawecka, Elzbieta, Andrzej Perec, and Aleksandra Radomska-Zalas. "Use of the Simple Multicriteria Decision-Making (MCDM) Method for Optimization of the High-Alloy Steel Cutting Processby the Abrasive Water Jet." Spectrum of Mechanical Engineering and Operational Research 1, no. 1 (2024): 111–20. http://dx.doi.org/10.31181/smeor11202411.

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In the case of advanced manufacturing technologies, which include Abrasive Water Jet Machining, optimization of control parameters is necessary to achieve appropriate efficiency and quality. One of the optimization methods used in the presented research is SAW, from the Multi-Criteria Decision Making (MCDM) group. In multi-criteria decision-making (MCDM) situations, the criterion weights are crucial components that have a big impact on the outcomes. A novel technique called MEREC (MEthod based on the Removal Effects of Criteria) was presented to find the objective weights of the criteria. The
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Paszek, S. "Use of Pareto optimisation for tuning power system stabilizers." Bulletin of the Polish Academy of Sciences: Technical Sciences 60, no. 1 (2012): 125–31. http://dx.doi.org/10.2478/v10175-012-0018-5.

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Use of Pareto optimisation for tuning power system stabilizers The paper presents a method for determining sets of Pareto optimal solutions (compromise sets) - parameter values of PSS3B system stabilizers working in a multi-machine power system - when optimising different multidimensional criteria. These criteria are determined for concrete disturbances when taking into account transient waveforms of the instantaneous power, angular speed and terminal voltage of generators in one, chosen generating unit or in all units of the system analysed. The application of multi-criteria methods allows ta
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Li, W., Q. Li, G. P. Steven, and Y. M. Xie. "An evolutionary shape optimization procedure for contact problems in mechanical designs." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 217, no. 4 (2003): 435–46. http://dx.doi.org/10.1243/095440603321509711.

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The finite element method (FEM) has been extensively applied to explore contact stress distributions in multi-body mechanical systems. Uneven contact stresses are often one of the main concerns of mechanical design engineers. By adopting the evolutionary structural optimization (ESO) concepts, this paper presents a non-gradient procedure for gradual shape redesign of prescribed contact interfaces. In this method, interfacial gaps are considered as design variables and contact stress deviations over design interfaces are set as the objective function. To deal with multiple contact region proble
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Feinberg, Eugene A., and Dong J. Kim. "Bicriterion Optimization of an M/G/1 Queue with A Removable Server." Probability in the Engineering and Informational Sciences 10, no. 1 (1996): 57–73. http://dx.doi.org/10.1017/s0269964800004174.

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This paper studies bicriterion optimization of an M/G/1 queue with a server that can be switched on and off. One criterion is an average number of customers in the system, and another criterion is an average operating cost per unit time. Operating costs consist of switching and running costs. We describe the structure of Pareto optimal policies for a bicriterion problem and solve problems of optimization of one of these criteria under a constraint for another one.
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Grishko, A. K. "Control algorithm for decision making in multi-criteria optimization problems." Journal of Physics: Conference Series 2388, no. 1 (2022): 012035. http://dx.doi.org/10.1088/1742-6596/2388/1/012035.

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Abstract The main feature of the multi-criteria optimization of the design processes of complex electronic devices is that they are all interconnected, heterogeneous in nature and, as a rule, non-linear. That is, by changing some of them by varying the corresponding parameters, we inevitably change other parameters of the system, and not always in the right direction. The purpose of the work is to propose a way to organize the procedure for finding the optimal solution to multicriteria design problems. When developing and creating new schemes, structures and systems, the task of determining th
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Jereva, Dessislava, Maria Angelova, Ivanka Tsakovska, et al. "An Application of InterCriteria Analysis Approach to Assess the AMMOS Software Platform Outcomes." BIOMATH 11, no. 1 (2022): 2203068. http://dx.doi.org/10.55630/j.biomath.2022.03.068.

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The experimental procedures of drug design, proven to be time-consuming and costly, are successfully complemented with computer-aided (in silico) approaches nowadays. Virtual ligand screening (VLS) is one of the most promising approaches when searching for new hit compounds. The efficiency of VLS procedures might be improved via post-docking optimization. In the focus of this investigation is AMMOS (Automatic Molecular Mechanics Optimization for in silico Screening) developed as multi-step structure-based procedure for efficient computational refinement of protein-ligand complexes at different
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Z., K. Abdurahman Baizal, A. Rahmawati Aniq, M. Lhaksmana Kemas, Z. Mubarok Moh, and Qadrian M. "Generating Travel Itinerary Using Ant Collony Optimization." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 3 (2018): 1208–16. https://doi.org/10.12928/TELKOMNIKA.v16i3.7268.

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Travelling is one of the activities needed by everyone to overcome weariness. The number of information about the tourism destination on the internet sometimes does not provide easiness for oncoming tourists. This paper proposes a system capable of making travel itinerary, for tourists who want to visit an area within a few days. For generating itinerary, the system considers several criterias (Multicriteria-based), which include the popularity level of tourist attractions to visit, tourist visits that minimize budgets or tourist visits with as many destinations as possible. To handle multi cr
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Moslemi, Amir, and Mirmehdi Seyyed-Esfahani. "Robust optimization of multistage process: response surface and multi-response optimization approaches." International Journal of Nonlinear Sciences and Numerical Simulation 23, no. 2 (2021): 163–75. http://dx.doi.org/10.1515/ijnsns-2017-0003.

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Abstract A multistage system refers to a system contains multiple components or stages which are necessary to finish the final product or service. To analyze these problems, the first step is model building and the other is optimization. Response surfaces are used to model multistage problem as an efficient procedure. One regular approach to estimate a response surface using experimental results is the ordinary least squares (OLS) method. OLS method is very sensitive to outliers, so some multivariate robust estimation methods have been discussed in the literature in order to estimate the respo
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Nikitina, V. A., A. B. Sulin, S. S. Muraveinikov, and D. O. Dmitriev. "Multi-criteria optimization of heat recovery unit in terms of the climatic factor." Omsk Scientific Bulletin. Series Aviation-Rocket and Power Engineering 9, no. 1 (2025): 46–55. https://doi.org/10.25206/2588-0373-2025-9-1-46-55.

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The use of heat pumps in exhaust air heat recovery systems is an effective energy-saving technology. Due to the increase in the number of refrigerants with different characteristics, a problem arises with making a decision on the use of a specific substance, taking into account the climatic features of a particular region. Multicriteria optimization methods adapted to solving this problem can be used taking into account the specified preferences for energy, environmental and economic factors. The TOPSIS method is used in this paper as one of the subtypes of the MADM multicriteria optimization
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Polyansky, О., О. Dyakonov, О. Skrypnyk, V. Dyakonov, and I. Buzina. "PRESS OPTIMIZATION BY ENERGY CRITERION OF PRODUCTION OF FUEL QUALITY BRIQUETTES." Municipal economy of cities 1, no. 154 (2020): 77–81. http://dx.doi.org/10.33042/2522-1809-2020-1-154-77-81.

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The work optimized pressing according to the energy criterion in the production of fuel briquettes of high quality. It is shown that this is a complex task for the most part multi-criteria, which is difficult to reduce to single-criteria. A compromise problem has been solved taking into account many restrictions and requirements. The optimization of the pressing process should be carried out according to the criteria: minimum energy intensity and maximum density of granules to ensure low brittleness. In solving this optimization problem, the technological features of this process were used. A
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MILANI, A. S., C. EL-LAHHAM, and J. A. NEMES. "DIFFERENT APPROACHES IN MULTIPLE-CRITERIA OPTIMIZATION USING THE TAGUCHI METHOD: A CASE STUDY IN A COLD HEADING PROCESS." Journal of Advanced Manufacturing Systems 03, no. 01 (2004): 53–68. http://dx.doi.org/10.1142/s0219686704000399.

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Real life engineering problems usually require the satisfaction of different, potentially conflicting criteria. Design optimization, on the other hand, based on the conventional Taguchi method cannot accommodate more than one response. However, by the use of the overall evaluation criterion approach, the method can be applied to multiple-criteria optimization problems. This paper presents the use of different utility function methods as well as a multiple attribute decision-making model in the multiple-criteria optimization of a cold heading process. Different aspects of each method are discus
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Erastova, K. G., and P. A. Laryushkin. "Multi-Criteria Design Optimization of Delta Robot with Four Degrees of Freedom." Proceedings of Higher Educational Institutions. Маchine Building, no. 1 (742) (January 2022): 10–19. http://dx.doi.org/10.18698/0536-1044-2022-1-10-19.

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A delta robot with three degrees of freedom, having been well studied over the past 40 years, is one of the most popular parallel mechanisms. Nowadays, an urgent task is to study the properties of various modifications of this mechanism. The article considers a delta robot with four degrees of freedom, in which one of the kinematic chains with a parallelogram is divided into two, allowing the output link to have an additional rotational degree of freedom. To maximize the working area and minimize the cost of modification the optimization of the robot design was performed. The problem of maximi
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Kundenko, M. P., V. A. Mardziavko, and A. Yu Rudenko. "Use of criteria for process optimization elevator complex routing." Electrical Engineering and Power Engineering, no. 4 (April 24, 2024): 44–50. http://dx.doi.org/10.15588/1607-6761-2023-4-5.

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The goal of the work. The purpose of this work is to describe the optimality criteria for determining the direction of solving the problem of optimizing transport and technological routes of grain products at the elevator complex. Research methods. An analytical research method was applied to determine the technological characteristics of the elevator complex line and the dependence of the quality of transported products on the constructed transportation route. A mathematical method is applied to describe the constituent elements of the optimization criteria. Obtained results. One of the direc
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Piglionico, Vito, Antonio Piccininni, Gianfranco Palumbo, and Luigi Tricarico. "Multi-Objective Optimization of the Hydroforming Process Considering Different Plastic Yield Criteria." Key Engineering Materials 651-653 (July 2015): 1394–99. http://dx.doi.org/10.4028/www.scientific.net/kem.651-653.1394.

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The present work aims at determining the optimal working conditions for the manufacturing of the AA6061-T6 Al alloy by the hydroforming process. As case study a stepped geometry was used. A numerical model was created using the commercial explicit Finite Element code LS-DYNA. The plastic behaviour of the investigated alloy was modelled implementing experimental data (flow stress curves, Lankford coefficients and Forming Limit Curves) and using two different yield criteria: an anisotropic one (Barlat ‘89) and the conventional isotropic one (Von Mises). Finite Element models were tuned using exp
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Meidute-Kavaliauskiene, Ieva, Nihal Sütütemiz, Figen Yıldırım, Shahryar Ghorbani, and Renata Činčikaitė. "Optimizing Multi Cross-Docking Systems with a Multi-Objective Green Location Routing Problem Considering Carbon Emission and Energy Consumption." Energies 15, no. 4 (2022): 1530. http://dx.doi.org/10.3390/en15041530.

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Cross-docking is an excellent way to reduce the space required to store goods, inventory management costs, and customer order delivery time. This paper focuses on cost optimization, scheduling incoming and outgoing trucks, and green supply chains with multiple cross-docking. The three objectives are minimizing total operating costs, truck transportation sequences, and carbon emissions within the supply chain. Since the linear programming model is an integer of zero and one and belongs to NP-hard problems, its solution time increases sharply with increasing dimensions. Therefore, the non-domina
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Sintaro, Sanriomi, Ahmad Ari Aldino, Setiawansyah Setiawansyah, and Very Hendra Saputra. "Combination of Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) and Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA) in Determining the Best Cashier." Journal of Computing and Informatics Research 3, no. 1 (2023): 133–40. http://dx.doi.org/10.47065/comforch.v3i1.969.

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MOORA (Multi-Objective Optimization by Ratio Analysis) method is one of the multi-criteria analysis techniques used for alternative selection based on several different criteria or objectives. In the context of selecting the best cashier, by using the MOORA method to select cashiers based on several relevant criteria. While Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA) is a method used to assess the importance of criteria relative to each other in the context of multi-criteria analysis. This method helps in determining the weight of criteria used in multi-criteria decision
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Tadic, Danijela. "Fuzzy multi-criteria approach to ordering policy ranking in a supply chain." Yugoslav Journal of Operations Research 15, no. 2 (2005): 243–58. http://dx.doi.org/10.2298/yjor0502243t.

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In this paper, a new fuzzy multi-criteria mathematical model for the selection of the best among a finite number of ordering policy of raw material in a supply chain is developed. The problem treated is a part of the purchasing plan of a company in an uncertain environment and it is very common in business practice. Optimization criteria selected describe the performance measures of ordering policies and generally their relative importance is different. It is assumed that the values of the optimization criteria are vague and imprecise. They are described by discrete fuzzy numbers and by lingui
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Hasan-Zadeh, Atefeh. "Statistical adjustment of the parameters of multi-objective optimization problems with design expert method." Journal of Advanced Computer Science & Technology 9, no. 1 (2020): 6. http://dx.doi.org/10.14419/jacst.v9i1.30656.

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Optimization methods in which one single criterion is considered cannot provide a comprehensive solution to various decision- making algorithms because they cannot consider the interchange of conflicting goals that sometimes conflict with one another. Multi-objective opti-mization is a suitable solution to this obstacle. Given the importance of multi-objective optimization problems in engineering and technology, adjusting the parameters of these types of problems will, in addition to the decision-making accuracy, facilitate the analysis of the results and makes it more applicable. For this pur
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Nicolini, Matteo. "Pareto Genetic Algorithms for Multi-Objective Design of Water Distribution Systems." Applied Mechanics and Materials 212-213 (October 2012): 664–70. http://dx.doi.org/10.4028/www.scientific.net/amm.212-213.664.

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The paper describes the development of a technique for the optimal design of water supply and distribution systems, based on a coupling between evolutionary algorithms and a pressurized hydraulic network solver. The purpose is to show the capabilities of Pareto genetic algorithms (PGAs) in solving multi-objective, constrained optimization problems: in such cases, the optimum is represented not only by one solution, as in single-objective optimization, but by a set of optimal configurations (the Pareto front or frontier), satisfying different levels of compromise among the competing objectives.
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Anđić, Darko. "Assessing the applicability of the MCRAT, RAPS, RAMS and RATMI methods in the optimization of a dam geodetic control network." International Journal of Engineering and Geosciences 10, no. 3 (2025): 364–79. https://doi.org/10.26833/ijeg.1630726.

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Only a few studies have so far addressed the applicability of Multi-Criteria Decision-Making (MCDM) methods in the optimization of geodetic control networks. For instance, the methods such as Višekriterijumsko Kompromisno Rangiranje/Rešenje (VIKOR) (in english: Multi-Criteria Optimization and Compromise Ranking/Solution), Analytic Hierarchy Process (AHP), Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Multi-Attributive Border Approximation Area Comparison (MABAC), Multi-Attributive Id
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Ganicheva, A. V., and A. V. Ganichev. "VECTOR MODEL FOR MULTI-CRITERIA SCORING." Scientific Review: Theory and Practice 10, no. 10 (2020): 2245–53. http://dx.doi.org/10.35679/2226-0226-2020-10-10-2245-2253.

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To assess the performance of economic systems, criteria and performance indicators are used that show the degree of achievement of the desired performance result. To characterize complex systems in most real cases, one criterion is not enough. Therefore, several criteria are used to comprehensively characterize the system. The multi-criteria problem raises the problem of matching individual criteria when used together. There are many ways to select alternatives in the face of multiple decision criteria. This article discusses the multi-criteria comparison of objects with Pareto dominance, vect
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Mendoza-Ramírez, Rosalva, Rodolfo Silva, Ramón Domínguez-Mora, Eduardo Juan-Diego, and Eliseo Carrizosa-Elizondo. "Comparison of Two Convergence Criterion in the Optimization Process Using a Recursive Method in a Multi-Reservoir System." Water 14, no. 19 (2022): 2952. http://dx.doi.org/10.3390/w14192952.

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Stochastic dynamic programming (SDP) is an optimization technique used in the operation of reservoirs for many years. However, being an iterative method requiring considerable computational time, it is important to establish adequate convergence criterion for its most effective use. Based on two previous studies for the optimization of operations in one of the most important multi-reservoir systems in Mexico, this work uses SDP, centred on the interest in the convergence criterion used in the optimization process. In the first trial, following the recommendations in the literature consulted, t
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Liskevych, R. I., O. I. Liskevych, K. M. Obelovska, and R. P. Panchyshyn R. P. "IMPROVED ALGORITHM FOR THE PACKET ROUTING IN TELECOMMUNICATION NETWORKS." Ukrainian Journal of Information Technology 3, no. 1 (2021): 114–19. http://dx.doi.org/10.23939/ujit2021.03.114.

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Packet routing efficiency is and will remain one of the major factors that have a major impact on a network performance and a quality of service. One of the most common routing protocols used in autonomous Internet systems is the Open Shortest Path First (OSPF) protocol. The OSPF protocol performs packet transmission using the shortest paths, calculated according to a certain, but only one criterion. Default criterion is channels bandwidth, but in general any criteria can be selected. The disadvantage here is that channels loading is not considered and thus packets are routed to a shortest but
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Hassan, Dara Ali, Nezam Mehdavi Amiri, and Ayad Mohammed Ramadan. "A heuristic approach to minimize three criteria using efficient solutions." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 1 (2022): 334. http://dx.doi.org/10.11591/ijeecs.v26.i1.pp334-341.

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In <span>optimization, scheduling problems is concerning allocations of some resources which are usually limited. These allocations are done in order to fulfil some criterion by performing some tasks or jobs to optimize one or more objective functions. Simultaneous multi-criteria scheduling problem is known as np-hard optimization problem. Here, we consider three criteria for scheduling a number of jobs on a single machine. The problem is to minimize the sum of total completion time, maximum earliness and maximum tardiness. Every job is to be processed without interruption and becomes av
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