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多目标优化遗传算法的收敛性定义及实例研究
  • ISSN号：1000-386X
  • 期刊名称：《计算机应用与软件》
  • 时间：0
  • 分类：TP273.22[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置] TS74[轻工技术与工程—制浆造纸工程]
  • 作者机构：[1]武汉大学软件工程国家重点实验室,湖北武汉430072, [2]中南民族大学计算机科学学院,湖北武汉430074
  • 相关基金：国家自然科学基金（69635030,60073043,70071042）资助.
作者： 覃俊[1,2], 康立山[1]
关键词： 多目标优化, 收敛性, PARETO占优, 有限马尔科夫链, Multi-objective optimization Convergence Pareto dominance Finite markov chain
中文摘要：

寻找非劣解集合是遗传算法求解多目标优化问题的目标，而标准的遗传算法收敛性分析方法对多目标遗传算法的分析并不合适。本文利用有限马尔科夫链给出了遗传算法求解多目标优化问题的两个收敛性定义，并给出了一个实例研究及进一步的工作计划。

英文摘要：

Based on Finite Markov Chain theory,a new convergence analysis framework for multi-objective optimization genetic algorithm （MOGA） ,which aims to converge to Pareto optimal set rather than single optimal point is presented. And a case study is given too.

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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