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Adaptive ε-Constraint Multi-Objective Evolutionary Algorithm Based on Decomposition and Differential Evolution

机译：基于分解和差分演化的自适应ε-约束多目标进化算法

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Bing-Jie Liu; Xiao-Jun Bi;
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年度 2021
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1. Integration of improved predictive model and adaptive differential evolution based dynamic multi-objective evolutionary optimization algorithm [J] . Liu Ruochen, Fan Jing, Jiao Licheng Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies . 2015,第1期

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2. Self-adaptive weight vector adjustment strategy for decomposition-based multi-objective differential evolution algorithm [J] . Fan Rui, Wei Lixin, Li Xin, Soft computing: A fusion of foundations, methodologies and applications . 2020,第17期

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3. A multi-objective evolutionary algorithm based on decomposition and constraint programming for the multi-objective team orienteering problem with time windows [J] . Hu Wanzhe, Fathi Mahdi, Pardalos Panos M. Applied Soft Computing . 2018,第期

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4. An Improved Decomposition-based Multi-objective Evolutionary Algorithm with Enhanced Differential Evolution Strategy [C] . Yingbo Xie, Ying Hou, Junfei Qiao, IEEE Symposium Series on Computational Intelligence . 2019

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5. Optimal Power Flow and Network Loadability Using Feedback-Based Self-Adaptive Differential Evolution and Multiobjective Algorithms [D] . Alharbi, Fares Theyab A. 2018

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Adaptive ε-Constraint Multi-Objective Evolutionary Algorithm Based on Decomposition and Differential Evolution

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