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Evolution algorithm with adaptive genetic operator and dynamic scoring mechanism for large-scale sparse many-objective optimization.

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第一作者： Xia,Wang

第一单位： School of Electrical and Information Technology , Yunnan Minzu University, Kunming, 650504, China. wangxiacsu@163.com.;Yunnan Key Laboratory of Unmanned Autonomous System , Yunnan Minzu University, Kunming, 650504, China. wangxiacsu@163.com.

作者： Xia,Wang ^[1] ; Wei,Zhao ^[2] ; Jia-Ning,Tang ^[3] ; Zhong-Bin,Dai ^[4] ; Ya-Ning,Feng ^[2]

作者单位： School of Electrical and Information Technology , Yunnan Minzu University, Kunming, 650504, China. wangxiacsu@163.com.;Yunnan Key Laboratory of Unmanned Autonomous System , Yunnan Minzu University, Kunming, 650504, China. wangxiacsu@163.com. ^[1] School of Electrical and Information Technology , Yunnan Minzu University, Kunming, 650504, China.;Yunnan Key Laboratory of Unmanned Autonomous System , Yunnan Minzu University, Kunming, 650504, China. ^[2] School of Electrical and Information Technology , Yunnan Minzu University, Kunming, 650504, China. tjn1216@163.com.;Yunnan Key Laboratory of Unmanned Autonomous System , Yunnan Minzu University, Kunming, 650504, China. tjn1216@163.com. ^[3] Nanjing Branch of China Telecom Co., Ltd, Nanjing, 210000, China. ^[4]

关键词 Adaptive genetics Dynamic scoring Large-scale sparse evolutionary algorithms Many-objective Sparsity of Pareto solutions

DOI 10.1038/s41598-025-91245-z

PMID 40102468

发布时间 2025-03-22

基金项目

202408YB07/Open Subject of Yunnan Key Laboratory of Unmanned Autonomous Systems 202408YB07/Open Subject of Yunnan Key Laboratory of Unmanned Autonomous Systems 202408YB07/Open Subject of Yunnan Key Laboratory of Unmanned Autonomous Systems 202201AT070021/Basic research project of Science and Technology Department of Yunnan Province 62161052/The National Natural Science Foundation of China

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