微计算机信息
微計算機信息
미계산궤신식
CONTROL & AUTOMATION
2006年
7期
53-59,127
,共8页
遗传算法%适应度%参数整定%优化%控制器
遺傳算法%適應度%參數整定%優化%控製器
유전산법%괄응도%삼수정정%우화%공제기
genetic algorithms%fitness%parameter tuning%optimizing%controller
阐述了多性能指标综合下的遗传算法在控制器参数寻优上的应用,讨论了算法的具体实现方法,其中指标综合可以有多种方式,具体介绍了对指标的加权方法.最后,通过与单一性能指标约束的遗传算法的仿真结果进行比较,证明新方法具有更好的参数寻优能力.
闡述瞭多性能指標綜閤下的遺傳算法在控製器參數尋優上的應用,討論瞭算法的具體實現方法,其中指標綜閤可以有多種方式,具體介紹瞭對指標的加權方法.最後,通過與單一性能指標約束的遺傳算法的倣真結果進行比較,證明新方法具有更好的參數尋優能力.
천술료다성능지표종합하적유전산법재공제기삼수심우상적응용,토론료산법적구체실현방법,기중지표종합가이유다충방식,구체개소료대지표적가권방법.최후,통과여단일성능지표약속적유전산법적방진결과진행비교,증명신방법구유경호적삼수심우능력.
Genetic algorithm with many performance indexes is proposed. It can synthesize seek optimally application in the controller parameters. And the concrete implementation method of the improved genetic algorithm is discussed. In the improved genetic algorithm, the constructed formula of many performance indexes is also given and the aspect of formulation have discussed. Genetic algorithm with many performance indexes has many the representation ways, one of which is involved in simulation. The selection of the performance index has considered the coefficient of weight in order to display the important of every performance index. Compared to the simulation result of the genetic algorithm with single performance index, have proved new method have better parameter seek optimally ability.