进化算法在工程应用中的若干实用技术

SOME PRACTICAL TECHNIQUESFOR ENGINEERING APPLICATIONSOF EVOLUTIONARY ALGORITHMS

总结了进化算法理论研究中具有重要应用前景的若干实用技术 ,其中包括编码技术、自调整技术、约束限制处理技术和多目标优化技术。文中总结了这 4类技术的最新进展 ,希望能为从事进化算法应用研究的电力工作者开拓一些新思路 ,为设计和开发具有更高性能、适用于电力系统运行与控制的进化算法提供参考。

Evolutionary algorithms EAs have m any potential applications in power system s operation and control. However,when applying EAs to engineering optimization,there is still a preeminent problem,i.e. the prem ature convergence problem ,which degrades the EAs'perform ance.As such,there has been extensive research from a theoretical point of view in this field to avoid the premature convergence problem and to im prove EAs'performance.This review attem pts to collect,organize and present in a unified way som e of the most representative works in this field.They are categorized into four parts:encoding,self- adaptation,constraints- handling techniques and multi- objective optim ization.An overview on the four technologies is presented herein and it is desired to provide some new ideas for developing successful EAs'applications.