覃俊,康立山.求解复杂约束优化问题的演化多目标算法[J].中南民族大学学报自然科学版,2004,(1):66-68
求解复杂约束优化问题的演化多目标算法
An Evolutionary Multi-Objective Optimization Algorithm for Single-Objective Optimization Problem with Constraints
  修订日期:2003-11-17
DOI:10.12130/znmdzk.20040121
中文关键词: 多目标优化  带约束的单目标优化  约束处理
英文关键词: multi objective optimization,single objective with constraints,constraint handling
基金项目:国家自然科学基金
作者:覃俊  康立山
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中文摘要:
      在分析了传统的求解带约束的单目标优化问题存在的问题的基础上,利用多目标优化算法的框架,把单目标优化问题中的软性约束化为新增的目标,把原问题化为一个多目标优化问题,然后利用演化多目标优化算法求解转化后的问题,分析了该方法处理约束的优势,并给出了初步实验结果.
英文摘要:
      Some drawbacks, which exist in traditional methods to solve single objective optimism problem with constraints, are presented . And a new technique, which transforms original single objective optimism problem with constraints to multi objective optimism problem without constraints, is given. This method provides the decision makers more than one solution . An evolutionary multi objective optimism algorithm(EMOA) to solve the transformed problem is discussed and an initial experiment is given, too.
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