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  • Efficient Large-Scale Multi... Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer
    Tian, Ye; Zheng, Xiutao; Zhang, Xingyi ... IEEE transactions on cybernetics, 08/2020, Letnik: 50, Številka: 8
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    There exist many multiobjective optimization problems (MOPs) containing a large number of decision variables in real-world applications, which are known as large-scale MOPs. Due to the ...
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  • Multiobjective Evolution St... Multiobjective Evolution Strategy for Dynamic Multiobjective Optimization
    Zhang, Kai; Shen, Chaonan; Liu, Xiaoming ... IEEE transactions on evolutionary computation, 2020-Oct., 2020-10-00, Letnik: 24, Številka: 5
    Journal Article
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    This article presents a novel evolution strategy-based evolutionary algorithm, named DMOES, which can efficiently and effectively solve multiobjective optimization problems in dynamic environments. ...
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  • An Interactive Evolutionary... An Interactive Evolutionary Multiobjective Optimization Method Based on Progressively Approximated Value Functions
    Deb, Kalyanmoy; Sinha, Ankur; Korhonen, Pekka J ... IEEE transactions on evolutionary computation, 2010-Oct., 2010-10-00, 20101001, Letnik: 14, Številka: 5
    Journal Article
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    This paper suggests a preference-based methodology, which is embedded in an evolutionary multiobjective optimization algorithm to lead a decision maker (DM) to the most preferred solution of her or ...
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  • An evolutionary algorithm b... An evolutionary algorithm based on dynamic sparse grouping for sparse large scale multiobjective optimization
    Zou, Yingjie; Liu, Yuan; Zou, Juan ... Information sciences, June 2023, 2023-06-00, Letnik: 631
    Journal Article
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    Sparse large scale multiobjective optimization problems (sparse LSMOPs) contain numerous decision variables, and their Pareto optimal solutions' decision variables are very sparse (i.e., the majority ...
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  • BiOM: A framework for multi... BiOM: A framework for multimodal multiobjective optimization
    Wei, Zhifang; Gao, Weifeng; Xu, Jingwei ... Information sciences, January 2024, 2024-01-00, Letnik: 653
    Journal Article
    Recenzirano

    Multimodal multiobjective evolutionary algorithms are expected to search for not only Pareto optimal front but also the corresponding multiple equivalent Pareto optimal sets. To this end, this paper ...
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  • A staged diversity enhancem... A staged diversity enhancement method for constrained multiobjective evolutionary optimization
    Yu, Fan; Chen, Qun; Zhou, Jinlong ... Information sciences, October 2024, 2024-10-00, Letnik: 680
    Journal Article
    Recenzirano

    Optimizing the convergence and diversity of solutions simultaneously under constraints is a challenge in solving constrained multiobjective optimization problems. In existing multiobjective ...
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  • On crashworthiness design o... On crashworthiness design of hybrid metal-composite structures
    Wang, Zhen; Jin, Xihong; Li, Qing ... International journal of mechanical sciences, 04/2020, Letnik: 171
    Journal Article
    Recenzirano

    •Develop a finite element (FE) models for the aluminum/CFRP hybrid structures.•Reveal the interactive effect and energy absorption mechanisms of hybrid structures.•Investigate the effects of wall ...
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  • A Bi-Objective Evolutionary... A Bi-Objective Evolutionary Algorithm for Multimodal Multiobjective Optimization
    Wei, Zhifang; Gao, Weifeng; Gong, Maoguo ... IEEE transactions on evolutionary computation, 2024-Feb., 2024-2-00, Letnik: 28, Številka: 1
    Journal Article
    Recenzirano

    Multimodal multiobjective optimization problems (MMOPs) possess multiple Pareto optimal sets (PSs) corresponding to the identical Pareto optimal front (PF). To handle MMOPs, we propose a bi-objective ...
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