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Artykuły w czasopismach na temat „Pareto Dominance Criterion”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Li, Lin, Hengfei Wu, Xiujian Hu, and Guanglei Sheng. "Evolutionary Algorithm for Multiobjective Optimization Based on Density Estimation Ranking." Wireless Communications and Mobile Computing 2021 (July 5, 2021): 1–18. http://dx.doi.org/10.1155/2021/4296642.

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In the past few decades, a number of multiobjective evolutionary algorithms (MOEAs) have been proposed in the continue study. As pointed out in some recent studies, the performance of the most existing MOEAs is not promising when solving different shapes of Pareto fronts. To address this issue, this paper proposes an MOEA based on density estimation ranking. The algorithm includes density estimation ranking to shift the reference solution position, calculating the density of candidate solutions and ranking by the estimated density value, to modify the Pareto dominance relation and for handling

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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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Emelichev, V. A., and S. E. Bukhtoyarov. "Stability measure of multicriteria integer linear programming problem with a parametric optimality principle." Proceedings of the National Academy of Sciences of Belarus. Physics and Mathematics Series 58, no. 2 (2022): 179–89. http://dx.doi.org/10.29235/1561-2430-2022-58-2-179-189.

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In this paper, we consider a multicriteria integer linear programming problem with a parametric principle of optimality. Parameterization is realized by dividing the set of criteria into several disjoint groups (subsets) of criteria ordered by importance, with Pareto dominance within each group. The introduced parametric principle of optimality made it possible to connect such classical principles of optimality as lexicographic and Pareto ones. For the stability radius, which is the limiting level of perturbations of the parameters of the problem, not causing the appearance of new optimal solu

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Vasile, M., and F. Zuiani. "Multi-agent collaborative search: an agent-based memetic multi-objective optimization algorithm applied to space trajectory design." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 225, no. 11 (2011): 1211–27. http://dx.doi.org/10.1177/0954410011410274.

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This article presents an algorithm for multi-objective optimization that blends together a number of heuristics. A population of agents combines heuristics that aim at exploring the search space both globally and in a neighbourhood of each agent. These heuristics are complemented with a combination of a local and global archive. The novel agent-based algorithm is tested at first on a set of standard problems and then on three specific problems in space trajectory design. Its performance is compared against a number of state-of-the-art multi-objective optimization algorithms that use the Pareto

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Korneenko, V. P. "Methods of Multi-Criteria Judgment and Selection of Objects Based on Relations with the k-th Order of Strict Preference." Informacionnye Tehnologii 29, no. 9 (2023): 457–66. http://dx.doi.org/10.17587/it.29.457-466.

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Methods of multi-criteria judgment and selection of objects based on the resulting relation with the к -th order of their strict preference are proposed. It is shown that the resulting Pareto and Slater dominance relations are a special case of the resulting relationship with the k-th order of strict preference. A detailed analysis of the method of narrowing the set of nondominable objects, which is based on the coefficient of relative importance (coefficient of compromise) for a pair of criteria, is carried out. Based on the example when one criterion is more important than another in advance

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Pimenov, Viktor, and Ilya Pimenov. "Data Analysis and Visualization in the Tasks of the Project Solutions Multicriteria Optimization." Informatics and Automation 21, no. 3 (2022): 543–71. http://dx.doi.org/10.15622/ia.21.3.4.

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The accumulation of data on project management processes and standard solutions has made relevant research related to the use of knowledge engineering methods for a multi-criteria search for options that set optimal settings for project environment parameters. Purpose: Development of a method for searching and visualizing groups of projects that can be evaluated based on the concept of dominance and interpreted in terms of project variables and performance indicators. Methods: The enrichment of the sample while maintaining an implicit link between the project variables and performance indicato

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Sarana, Viktor, and Vasyl Sereda. "Multi-criterion selection of wolf mixers." Human and nation's health, no. 2 (December 29, 2023): 56–71. http://dx.doi.org/10.31548/humanhealth.2.2023.56.

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The quality of the finished sausage product is affected not only by the quality of raw materials, but also by the process of grinding the meat and obtaining high-quality minced meat. Planning production lines in the food industry is associated with difficulties due to the need for an informed choice of the right equipment. Therefore, the purpose of this work is to increase the technological efficiency of meat processing by determining the rational type of mixer-mixer by the method of multi-criteria analysis of the equipment. On the market, stirrers are available in different capacities with di

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Garcia-Bernabeu, A., J. V. Salcedo, A. Hilario, D. Pla-Santamaria, and Juan M. Herrero. "Computing the Mean-Variance-Sustainability Nondominated Surface by ev-MOGA." Complexity 2019 (December 11, 2019): 1–12. http://dx.doi.org/10.1155/2019/6095712.

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Despite the widespread use of the classical bicriteria Markowitz mean-variance framework, a broad consensus is emerging on the need to include more criteria for complex portfolio selection problems. Sustainable investing, also called socially responsible investment, is becoming a mainstream investment practice. In recent years, some scholars have attempted to include sustainability as a third criterion to better reflect the individual preferences of those ethical or green investors who are willing to combine strong financial performance with social benefits. For this purpose, new computational

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Lai, Yuling, Junming Chen, Yile Chen, Hui Zeng, and Jialin Cai. "Feedback Tracking Constraint Relaxation Algorithm for Constrained Multi-Objective Optimization." Mathematics 13, no. 4 (2025): 629. https://doi.org/10.3390/math13040629.

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In practical applications, constrained multi-objective optimization problems (CMOPs) often fail to achieve the desired results when dealing with CMOPs with different characteristics. Therefore, to address this drawback, we designed a constraint multi-objective evolutionary algorithm based on feedback tracking constraint relaxation, referred to as CMOEA-FTR. The entire search process of the algorithm is divided into two stages: In the first stage, the constraint boundaries are adaptively adjusted based on the feedback information from the population solutions, guiding the boundary solutions tow

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Njah, M., and Hamdi R. El. "A Constrained Multi-Objective Learning Algorithm for Feed-Forward Neural Network Classifiers." Engineering, Technology & Applied Science Research 7, no. 3 (2017): 1685–93. https://doi.org/10.5281/zenodo.809269.

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This paper proposes a new approach to address the optimal design of a Feed-forward Neural Network (FNN) based classifier. The originality of the proposed methodology, called CMOA, lie in the use of a new constraint handling technique based on a self-adaptive penalty procedure in order to direct the entire search effort towards finding only Pareto optimal solutions that are acceptable. Neurons and connections of the FNN Classifier are dynamically built during the learning process. The approach includes differential evolution to create new individuals and then keeps only the non-dominated ones a

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Hilario-Caballero, Adolfo, Ana Garcia-Bernabeu, Jose Vicente Salcedo, and Marisa Vercher. "Tri-Criterion Model for Constructing Low-Carbon Mutual Fund Portfolios: A Preference-Based Multi-Objective Genetic Algorithm Approach." International Journal of Environmental Research and Public Health 17, no. 17 (2020): 6324. http://dx.doi.org/10.3390/ijerph17176324.

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Sustainable finance, which integrates environmental, social and governance criteria on financial decisions rests on the fact that money should be used for good purposes. Thus, the financial sector is also expected to play a more important role to decarbonise the global economy. To align financial flows with a pathway towards a low-carbon economy, investors should be able to integrate into their financial decisions additional criteria beyond return and risk to manage climate risk. We propose a tri-criterion portfolio selection model to extend the classical Markowitz’s mean-variance approach to

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Szłapczyński, Rafał, and Hossein Ghaemi. "Framework of an Evolutionary Multi-Objective Optimisation Method for Planning a Safe Trajectory for a Marine Autonomous Surface Ship." Polish Maritime Research 26, no. 4 (2019): 69–79. http://dx.doi.org/10.2478/pomr-2019-0068.

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Abstract This paper represents the first stage of research into a multi-objective method of planning safe trajectories for marine autonomous surface ships (MASSs) involved in encounter situations. Our method applies an evolutionary multi-objective optimisation (EMO) approach to pursue three objectives: minimisation of the risk of collision, minimisation of fuel consumption due to collision avoidance manoeuvres, and minimisation of the extra time spent on collision avoidance manoeuvres. Until now, a fully multi-objective optimisation has not been applied to the real-time problem of planning saf

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Bader, Johannes, and Eckart Zitzler. "HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization." Evolutionary Computation 19, no. 1 (2011): 45–76. http://dx.doi.org/10.1162/evco_a_00009.

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In the field of evolutionary multi-criterion optimization, the hypervolume indicator is the only single set quality measure that is known to be strictly monotonic with regard to Pareto dominance: whenever a Pareto set approximation entirely dominates another one, then the indicator value of the dominant set will also be better. This property is of high interest and relevance for problems involving a large number of objective functions. However, the high computational effort required for hypervolume calculation has so far prevented the full exploitation of this indicator's potential; current hy

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Gravel, Nicolas, Abhiroop Mukhopadhyay, and Benoît Tarroux. "A robust normative evaluation of India's performance in allocating risks of death." Indian Growth and Development Review 1, no. 1 (2008): 95–111. http://dx.doi.org/10.1108/17538250810868152.

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PurposeThe purpose of this paper is to provide a robust normative evaluation of the recent evolution of Indians' exposures to health‐related risks.Design/methodology/approachThe paper compares empirically the distributions of individuals' risks of death in India on the basis of new ethically robust criteria in 1995 and 2002. Probabilities of death are assigned individuals as an estimated probit function of several explanatory variables, including the individual's district of residence. The criteria used ranks distributions of individual risks in the same way as would all Von Neumann–Morgenster

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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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Zhao, Mengjie, Kai Zhang, Guodong Chen, et al. "A Classification-Based Surrogate-Assisted Multiobjective Evolutionary Algorithm for Production Optimization under Geological Uncertainty." SPE Journal 25, no. 05 (2020): 2450–69. http://dx.doi.org/10.2118/201229-pa.

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Summary Multiobjective optimization (MOO) is a popular procedure for waterflooding optimization under geological uncertainty that maximizes the expectation of net present value (NPV) over all possible uncertainty models and minimizes the variance simultaneously. However, the optimization process involves a large number of decision variables, and the problem is computationally expensive. Surrogate-assisted evolutionary algorithms (SAEAs), which have proved to be an effective way to solve expensive problems, design computationally inexpensive functions to approximate each objective function. On

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Noor Azam, Muhammad Harith, Farida Hazwani Mohd Ridzuan, and M. Norazizi Sham Mohd Sayuti. "Optimized Cover Selection for Audio Steganography Using Multi-Objective Evolutionary Algorithm." Journal of Information and Communication Technology 22, no. 2 (2023): 255–82. http://dx.doi.org/10.32890/jict2023.22.2.5.

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Existing embedding techniques depend on cover audio selected by users. Unknowingly, users may make a poor cover audio selectionthat is not optimised in its capacity or imperceptibility features, which could reduce the effectiveness of any embedding technique. As a trade-off exists between capacity and imperceptibility, producing a method focused on optimising both features is crucial. One ofthe search methods commonly used to find solutions for the trade-off problem in various fields is the Multi-Objective Evolutionary Algorithm (MOEA). Therefore, this research proposed a new method for optimi

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Vasyl, Hryhorkiv, and Hryhorkiv Mariia. "GENERAL APPROACH TO MODELING THE PROBLEM OF DECISION-MAKING IN SUSTAINABLE DEVELOPMENT MANAGEMENT PROCESSES." BULLETIN OF CHERNIVTSI INSTITUTE OF TRADE AND ECONOMICS II, no. 94 (2024): 181–94. https://doi.org/10.34025/2310-8185-2024-2.94.12.

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Sustainable development is one of today's dominant target directions of development of modern human civilization, which provides for the compatibility of the states of the economic, ecological and social subsystems of society both within the borders of a single country and in the global space as a whole. In this regard, the issue of conceptual and applied foundations of sustainable development is a current subject of scientific research and practical development for specialists and individual institutions of various directions. Expanding and improving the tools of sustainable development resea

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Mykola, Kosterev, and Litvinov Volodymyr. "PRIORITY EVENTS DETERMINATION FOR THE RISK-ORIENTED MANAGEMENT OF ELECTRIC POWER SYSTEM." EUREKA: Physics and Engineering, no. 3 (May 31, 2018): 21–32. https://doi.org/10.21303/2461-4262.2018.00643.

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The task of risk-oriented management of the electric power system in conditions of multi-criteria choice is considered. To determine the most effective measures, the implementation of which will reduce the magnitude of the risk of an emergency situation, multi-criteria analysis methods are applied. A comparative analysis of the multi-criteria alternative (ELECTRE) ranking method based on utility theory and the Pareto method, which defines a subset of non-dominant alternatives, is carried out. The Pareto method uses in its algorithm only qualitative characteristics of the advantage and allows o

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Haro Gavidia, Marcelo, Guisella Chabla Galarza, Miguel Montalvo Robalino, David Coello Chabla, and Pavel Novoa-Hernández. "Creación automática de equipos de estudiantes universitarios: una experiencia desde la asignatura Inglés / Automatic Building of University Student Teams: an experience from English subject." Ciencia Unemi 9, no. 21 (2017): 58. http://dx.doi.org/10.29076/issn.2528-7737vol9iss21.2016pp58-67p.

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Uno de los principales objetivos en la educación es lograr que los estudiantes desarrollen la capacidad de trabajo en equipo. Esta capacidad potencia la socialización entre los estudiantes y la resolución de problemas complejos. Comúnmente, la creación de estos equipos es realizada por el docente de la asignatura, quien debe tener en cuenta múltiples criterios como la presencia de un estudiante líder y equipos heterogéneos. Cuando la asignatura tiene poco estudiantes, esta tarea suele ser fácil. Sin embargo, cuando se debe tener en cuenta a numerosos estudiantes, la tarea se torna compleja y p

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Al-Nidawi, Yaarob, Haider Tarish Haider, Dhiaa Halboot Muhsen, and Ghadeer Ghazi Shayea. "Multi-User Optimal Load Scheduling of Different Objectives Combined with Multi-Criteria Decision Making for Smart Grid." Future Internet 16, no. 10 (2024): 355. http://dx.doi.org/10.3390/fi16100355.

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Load balancing between required power demand and the available generation capacity is the main task of demand response for a smart grid. Matching between the objectives of users and utilities is the main gap that should be addressed in the demand response context. In this paper, a multi-user optimal load scheduling is proposed to benefit both utility companies and users. Different objectives are considered to form a multi-objective artificial hummingbird algorithm (MAHA). The cost of energy consumption, peak of load, and user inconvenience are the main objectives considered in this work. A hyb

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Yurlov, Felix F., Sergey N. Yashin, and Anna F. Plekhanova. "Classes of task problems for determining the effectiveness of investment projects, taking into account the uncertainty of the external environment and multi-criteria." Vestnik of Samara University. Economics and Management 13, no. 4 (2023): 72–81. http://dx.doi.org/10.18287/2542-0461-2022-13-4-72-81.

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The article is devoted to the classification of decision-making tasks when choosing investment projects in conditions when uncontrollable factors act in these tasks that affect the efficiency of the compared projects, and the projects themselves must be evaluated by a set of criteria. In modern scientific literature, the issues of assessing the effectiveness of investments are often considered in isolation from issues related to the methodology for making optimal decisions in the economy. This can lead to an incorrect choice of investment projects when they are selected for financing, especial

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Philco Toaza, Priscila Elizabeth, and Katherine Melissa Zurita Paredes. "Síndrome de Noonan. Reporte de caso clínico." Mediciencias UTA 7, no. 1 (2023): 60–69. http://dx.doi.org/10.31243/mdc.uta.v7i1.1915.2023.

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Introducción: El síndrome de Noonan (SN) es un trastorno genético de herencia autosómica dominante. Se caracteriza por tener una triada clásica: rasgos craneofaciales muy característicos, talla baja y anomalías cardiovasculares congénitas. La alteración genética se da en los genes que codifican para las proteínas comprometidas en la vía de señalización intracelular de las RAS-MAPK (Mitogen Activated Protein Kinases) generalmente la mutación se da en 4 genes. Las manifestaciones clínicas son variadas y multisistémicas. Tiene una estrecha relación con la lentiginosis múltiple, síndrome Costello

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Arboleda, Julio César. "Profesor y Educador no son lo mismo Fenomenología y hermenéutica del “Enseñar Educando”." Revista Boletín Redipe 14, no. 6 (2025): 22–36. https://doi.org/10.36260/1a9fz436.

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Sumario:1. Introducción 2. Del profesor y del educador 2.1 Criterio, vocación y conciencia de formación 3. Del enseñar y del educar: enseñar educando 3.1 Fenomenología y hermenéutica del “enseñar educando” 3.2 Educando en la conciencia de vida, comprendiendo de modo edificante 4. A modo de conclusión ResumenEnseñar y educar no son lo mismo, tampoco ser profesor y educador. Lo deseable es enseñar educando. El educador asume su responsabilidad ética de acoger al educando en su singularidad, partiendo del hecho de que éste, como todo ser humano, es único en el concierto de la vida social y natura

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Malak, Richard J., and Christiaan J. J. Paredis. "Using Parameterized Pareto Sets to Model Design Concepts." Journal of Mechanical Design 132, no. 4 (2010). http://dx.doi.org/10.1115/1.4001345.

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The decisions designers make during conceptual design can have a large impact on the success of a project. Conceptual design decisions can be challenging because the imprecise nature of design concepts make them difficult to model. Prior literature exists on using Pareto sets to model design concepts abstractly in the space of decision attributes. However, this approach has limitations when the concept under consideration is a component of a larger system. The need to relate component-level decision attributes to system-level decision objectives can lead to a violation of the assumptions under

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Xie, Lele, Xiaoli Lu, Hang Liu, Yongqiang Hu, Xiaoming Zhang, and Shangshang Yang. "Moboa: a proposal for multiple objective bean optimization algorithm." Complex & Intelligent Systems, June 22, 2024. http://dx.doi.org/10.1007/s40747-024-01523-y.

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AbstractThe primary objective of multi-objective evolutionary algorithms (MOEAs) is to find a set of evenly distributed nondominated solutions that approximate the Pareto front (PF) of a multi-objective optimization problem (MOP) or a many-objective optimization problem (MaOP). This implies that the approximated solution set obtained by MOEAs should be as close to PF as possible while remaining diverse, adhering to criteria of convergence and diversity. However, existing MOEAs exhibit an imbalance between achieving convergence and maintaining diversity in the objective space. As far as the div

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Rajwan Hamood Sheah and Iraq T. Abbas. "Using Multi-Objective Bat Algorithm for Solving Multi-Objective Non-linear Programming Problem." Iraqi Journal of Science, March 30, 2021, 997–1015. http://dx.doi.org/10.24996/ijs.2021.62.3.29.

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Human beings are greatly inspired by nature. Nature has the ability to solve very complex problems in its own distinctive way. The problems around us are becoming more and more complex in the real time and at the same instance our mother nature is guiding us to solve these natural problems. Nature gives some of the logical and effective ways to find solutions to these problems. Nature acts as an optimized source for solving the complex problems. Decomposition is a basic strategy in traditional multi-objective optimization. However, it has not yet been widely used in multi-objective evolutionar

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Soto, Jesús Huerta de. "La teoría de la eficiencia dinámica." REVISTA PROCESOS DE MERCADO, March 19, 2021, 11–71. http://dx.doi.org/10.52195/pm.v1i1.372.

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This paper presents an alternative, dynamic view of economic efficiency as a replacement for the static Paretian approach prevalent until now. The development of the Paretian perspective is traced, and a proposal is then made to reintroduce the dynamic aspect of efficiency, a dimension based on the creative, coordinating potential of entrepreneurship. In addition, the close relationship between ethics, personal morals, and the dynamic aspect of economic efficiency is studied, and the application of the new criterion of efficiency to various areas of economics is suggested. Palabras clave

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Mistrov, L. Е., and E. М. Shepovalov. "Structural-parametric synthesis of the model of multi-criteria optimization of the solution of training problems with an aviation multifunctional simulator." Achievements of Modern Radioelectronics, 2022. http://dx.doi.org/10.18127/j20700784-202202-05.

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The basis for the training of aircraft crews is the solution of a finite set of training tasks modeled using aviation multifunction simulators (AMT). To develop a model of multi-criteria choice of solutions for an individual and the entire set of educational tasks, its structural and parametric synthesis is carried out on the basis of the optimal distribution of AMT hardware and software resource for modeling various factors and conditions of information processes during educational tasks. Their solution is based on the search for optimal options on the set of branching and / or repeating info

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Rondón-Ayala, José A. "Cáncer hereditario de colon no polipósico asociado a adenocarcinoma de endometrio, piel actínica y consanguinidad. A propósito de un caso." Bionatura 3, no. 4 (2018). http://dx.doi.org/10.21931/rb/2018.03.04.10.

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