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机构地区:[1]辽宁沈阳东北大学信息科学与工程学院,110004 [2]辽宁沈阳沈阳化工学院信息工程学院,110142
出 处:《微计算机信息》2006年第03S期53-55,127,共4页Control & Automation
基 金:国家自然科学基金资助项目;项目编号:60475036
摘 要: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。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.
分 类 号:TP13[自动化与计算机技术—控制理论与控制工程]
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