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Pentapartitioned Neutrosophic Fuzzy Optimization Method for Multi-objective Reliability Optimization Problem [PDF]
Neutrosophic Sets and Systems, 2023 Fuzzy logic is an important mathematical tool that deals with uncertainty and imprecision in decision-making processes. The prevalent frameworks, known as neutrosophic sets, study the connection of neutralities with various ideational spectra in addition
Swarup Jana, Sahidul Islam
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Conic Duality for Multi-Objective Robust Optimization Problem
Mathematics, 2022 Duality theory is important in finding solutions to optimization problems. For example, in linear programming problems, the primal and dual problem pairs are closely related, i.e., if the optimal solution of one problem is known, then the optimal ...
Khoirunnisa Rohadatul Aisy Muslihin +2 more
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Frontiers in Energy Research, 2022 In order to achieve good adaptability, medical bone implants for clinical applications need to have porous characteristics. From a biological and mechanical point of view, the design of porous structures requires both suitable porosities to facilitate ...
Rui Liu +3 more
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Evolutionary Game Theory in Multi-Objective Optimization Problem [PDF]
International Journal of Computational Intelligence Systems, 2010 Multi-objective optimization focuses on simultaneous optimization of multiple targets. Evolutionary game theory transforms the optimization problem into game strategic problem and using adaptable dynamic game evolution process intelligently obtains the ...
Maozhu Jin, Xia Lei, Jian Du
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Multi-Objective ABC-NM Algorithm for Multi-Dimensional Combinatorial Optimization Problem
Axioms, 2023 This article addresses the problem of converting a single-objective combinatorial problem into a multi-objective one using the Pareto front approach. Although existing algorithms can identify the optimal solution in a multi-objective space, they fail to ...
Muniyan Rajeswari +5 more
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Ant Colony Optimization for Multi-Objective Optimization Problems [PDF]
19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007), 2007 We propose in this paper a generic algorithm based on Ant ColonyOptimization metaheuristic (ACO) to solve multi-objectiveoptimization problems (PMO). The proposed algorithm isparameterized by the number of ant colonies and the number ofpheromone trails. We compare different variants of this algorithmon the multi-objective knapsack problem.
Alaya, Ines +2 more
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A Multi-Objective Evolutionary Algorithm With Hierarchical Clustering-Based Selection
IEEE Access, 2023 This paper proposes an evolutionary algorithm with hierarchical clustering based selection for multi-objective optimization. In the proposed algorithm, a hierarchical clustering is employed to design the environmental and mating selections, named local ...
Shenghao Zhou +6 more
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Methods That Optimize Multi-Objective Problems: A Survey and Experimental Evaluation
IEEE Access, 2020 Most current multi-optimization survey papers classify methods into broad objective categories and do not draw clear boundaries between the specific techniques employed by these methods.
Kamal Taha
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Multi-objective equilibrium optimizer: framework and development for solving multi-objective optimization problems [PDF]
Journal of Computational Design and Engineering, 2021 ABSTRACTThis paper proposes a new Multi-Objective Equilibrium Optimizer (MOEO) to handle complex optimization problems, including real-world engineering design optimization problems. The Equilibrium Optimizer (EO) is a recently reported physics-based metaheuristic algorithm, and it has been inspired by the models used to predict equilibrium state and ...
M Premkumar +5 more
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A Survey on Search Strategy of Evolutionary Multi-Objective Optimization Algorithms
Applied Sciences, 2023 The multi-objective optimization problem is difficult to solve with conventional optimization methods and algorithms because there are conflicts among several optimization objectives and functions.
Zitong Wang, Yan Pei, Jianqiang Li
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