Mutation Control and Convergence in Evolutionary Multi-Object Optimization
Mutation Control and Convergence in Evolutionary Multi-Object Optimization
复制标题
进化多目标优化中的变异控制和收敛
DOI：
10.17877/de290r-5637
复制
发表时间：
2001
期刊：
影响因子：
--
通讯作者：
H. Schwefel
中科院分区：
文献类型：
--
作者：
M. Laumanns;G. Rudolph;H. Schwefel
研究了多目标进化算法中变异强度的控制问题及其对Pareto集收敛性的影响。自适应参数控制是进化计算领域的一个重要研究课题，目前已有多种方法被提出并成功应用于单目标优化问题。在这项研究中，我们将研究是否selects结转到多目标的情况下，必须采取什么修改，以满足困难和pitfalls的相互冲突的目标。
This paper addresses the problem of controlling mutation st rength in multi-objective evolutionary algorithms and its implications for the convergence to the Pareto set. A daptive parameter control is one major issue in the field of evolutionary computation, and several methods have been proposed and applied successfully for single objective optimization problems. In this study we examine whether the se r sults carry over to the multi-objective case and what modifications must be taken to meet the difficulties and p itfalls of conflicting objectives.