A genetic algorithm for constrained optimization in simultaneous stabilizing problem

被引：0

作者：

Zhang, MR ^{[1
]}

Yang, ZM ^{[1
]}

Zhuang, XY ^{[1
]}

机构：

[1] Harbin Inst Technol, Dept Control Engn, Harbin 150001, Peoples R China

来源：

PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年

关键词：

constraint handling; optimization; genetic algorithm; simultaneous stabilization;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a new constrained optimization algorithm after concisely surveying the constraint handling method in genetic algorithm. Traditional genetic algorithm is improved and the new algorithm is used in solving simultaneous stabilizing control problem. Some concepts such as superior to and equivalence to are used to compare different individuals. Thus the algorithm can systematically handle constraints and (in)feasible individuals. And it need neither aiding penalty functions nor feasible initial solutions and allow producing infeasible solutions. Comparison of experimental results and numerical simulation show that the algorithm has good performance and can effectively solve simultaneous stabilizing problem.

引用

页码：606 / 610

页数：5

共 6 条

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[5] OPTIMAL SIMULTANEOUS STABILIZATION OF LINEAR SINGLE-INPUT SYSTEMS VIA LINEAR STATE-FEEDBACK CONTROL
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