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 con...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. This projectis supported by National Natural Science Foundation of China No. 5 0 0 0 70 0 2 and Rencai Yinjin Foundation of HU ST No.AA131F47 .展开更多
基金The Technology Innovation Fund for Aviation Industry Corporation of China(No.2009D61864)the National Science Foundation for Young Scientists of China(No.11105145)
文摘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. This projectis supported by National Natural Science Foundation of China No. 5 0 0 0 70 0 2 and Rencai Yinjin Foundation of HU ST No.AA131F47 .
