文献类型：期刊文献

英文题名：A Novel Cooperative Co-Evolutionary Framework for Large-Scale Overlapping Problems

作者：Chen, Mingke[1]; Du, Wei[1]

机构：[1] Ministry of Education, East China University of Science and Technology, Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education Engineering Research Center of Process System Engineering, Shanghai, China

年份：2023

外文期刊名：2023 IEEE Congress on Evolutionary Computation, CEC 2023

收录：EI(收录号：20234314944435)

语种：英文

外文关键词：Evolutionary algorithms - Global optimization - Merging

摘要：Large-scale overlapping problems are a type of challenging problems because of the special structure of the shared variables. In order to solve the large-scale overlapping problems effectively, the paper proposes a novel cooperative co-evolutionary framework for large-scale overlapping problems called the cooperative co-evolution algorithm with subgroup merging and resource allocation for overlapping problems (CCMRO). In CCMRO, a contribution-based subcomponent merging strategy is proposed to deal with the decomposition of the large-scale overlapping problem and reduce the interaction of subgroups. In addition, a new computational resource allocation strategy (CCRO) is designed to maintain a balance between the full allocation of computational resources and the stability of search speed. Finally, the effectiveness of the proposed CCMRO is verified by the large-scale overlapping benchmark functions. ? 2023 IEEE.