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Enhancing Evolutionary Algorithms With Pattern Mining for Sparse Large-Scale Multi-Objective Optimization Problems

Sheng Qi Rui Wang Tao Zhang Weixiong Huang Fan Yu Ling Wang

自动化学报（英文版）2024，Vol.11Issue(8)：1786-1801,16.

自动化学报（英文版）2024，Vol.11Issue(8)：1786-1801,16.DOI:10.1109/JAS.2024.124548

Enhancing Evolutionary Algorithms With Pattern Mining for Sparse Large-Scale Multi-Objective Optimization Problems

Sheng Qi ¹Rui Wang ²Tao Zhang ¹Weixiong Huang ¹Fan Yu ³Ling Wang⁴

作者信息

1. College of Systems Engineering,National University of Defense Technology,Changsha 410073,China
2. College of Systems Engineering,National University of Defense Technology,Changsha 410073||Xiangjiang Laboratory,Changsha 410205,China
3. College of Transportation and Engineering,Central South University,Changsha 410073,China
4. Department of Automation,Tsinghua University,Beijing 100084,China
折叠

摘要

关键词

Evolutionary algorithms/pattern mining/sparse large-scale multi-objective problems(SLMOPs)/sparse large-scale optimization

Key words

Evolutionary algorithms/pattern mining/sparse large-scale multi-objective problems(SLMOPs)/sparse large-scale optimization

引用本文复制引用

Sheng Qi,Rui Wang,Tao Zhang,Weixiong Huang,Fan Yu,Ling Wang..Enhancing Evolutionary Algorithms With Pattern Mining for Sparse Large-Scale Multi-Objective Optimization Problems[J].自动化学报（英文版）,2024,11(8):1786-1801,16.

基金项目

This work was support by the Open Project of Xiangjiang Laboratory(22XJ02003),the University Fundamental Research Fund(23-ZZCX-JDZ-28,ZK21-07),the National Science Fund for Outstanding Young Scholars(62122093),the National Natural Science Foundation of China(72071205),the Hunan Graduate Research Innovation Project(CX20230074),the Hunan Natural Science Foundation Regional Joint Project(2023JJ50490),the Science and Technology Project for Young and Middle-aged Talents of Hunan(2023TJ-Z03),and the Science and Technology Innovation Program of Humnan Province(2023RC1002). （22XJ02003）

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