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A Parallel Global-Local Mixed Evolutionary Algorithm for Multimodal Function Optimization Based on Domain Decomposition
  • ISSN号：1000-386X
  • 期刊名称：《计算机应用与软件》
  • 时间：0
  • 分类：O224[理学—运筹学与控制论;理学—数学]
  • 相关基金：Supported by the National Natural Science Foundation of China(60133010,60073043,70071042)
关键词： function, optimization, GT, ALGORITHM, GLME, ALGORITHM, EVOLUTIONARY, ALGORITHM, DOMAIN, DECOMPOSITION
中文摘要：

This paper presents a parallel two-level evolutionary algorithm based on domain decomposition for solving function optimization problem containing multiple solutions. By combining the characteristics of the global search and local search in each sub-domain, the former enables individual to draw closer to each optima and keeps the diversity of individuals, while the latter selects local optimal solutions known as latent solutions in sub-domain. In the end, by selecting the global optimal solutions from latent solutions in each sub-domain, we can discover all the optimal solutions easily and quickly.

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期刊信息
  • 《计算机应用与软件》
  • 北大核心期刊（2011版）
  • 主管单位:上海科学院
  • 主办单位:上海市计算技术研究所 上海计算机软件技术开发中心
  • 主编：朱三元
  • 地址：上海市愚园路546号
  • 邮编：200040
  • 邮箱：cas@sict.stc.sh.cn
  • 电话：021-62254715 62520070-505
  • 国际标准刊号：ISSN：1000-386X
  • 国内统一刊号：ISSN：31-1260/TP
  • 邮发代号:4-379
  • 获奖情况:
  • 全国计算机类中文核心期刊
  • 国内外数据库收录:
  • 波兰哥白尼索引,美国剑桥科学文摘,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2011版）,中国北大核心期刊（2000版）
  • 被引量:27463