A New Method for Constrained Optimization Problems to Produce Initial Values

摘要：

To solve the hard problem that it is difficult to produce initial values satisfied with the constrained conditions in constrained optimization problems, according to the good ability of particle swarm optimization in finding good values, the paper presents a new method for producing stochastic values satisfied with constrained conditions using particle swarm optimization, which can be used in the all kinds of algorithms to produce initial values. The examples show that the algorithm this paper presents can get good stochastic values satisfied with constrained conditions.

关键词： constrained optimization stochastic numbers particle swarm optimization

作者: Chao-li Sun Jian-chao Zeng Jeng-shyang Pan

作者单位: Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technolo Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technolo Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung,

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 2679-2681

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）