A hybrid chaotic genetic algorithm for short-term hydro system scheduling

被引：108

作者：

Yuan, XH ^{[1
]}

Yuan, YB ^{[1
]}

Zhang, YC ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Dept Hydropower & Automat Engn, Wuhan 430074, Hubei, Peoples R China

来源：

MATHEMATICS AND COMPUTERS IN SIMULATION | 2002年 / 59卷 / 04期

关键词：

chaos; genetic algorithm; short-term optimal dispatch; hydroelectric system;

D O I：

10.1016/S0378-4754(01)00363-9

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper proposes a novel hybrid chaotic genetic algorithm (HCGA) to solve the short-term generation scheduling of hydro system. The integration of chaotic sequence and genetic algorithm with a new self-adaptive error back-propagation mutation operator are developed, which can overcome premature and increase the convergence speed. Simulation results have demonstrated that the proposed approach is feasible and effective for the applications. (C) 2002 IMACS. Published by Elsevier Science B.V. All rights reserved.

引用

页码：319 / 327

页数：9

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