计算机工程与应用Issue(23)：215-220,251,7.DOI:10.3778/j.issn.1002-8331.1304-0394
望目特性连续型参数稳健设计遗传优化方法
Optimization method based on genetic evolution for robust continuous parameter design in target being best
摘要
Abstract
Aiming at the problem of robust continuous parameter design in the target being best, in which the output value can be got by theoretical calculation, an optimization method based on genetic evolution is proposed. The researched problem in this paper is described. The technical idea of the optimization method based on genetic evolution for the researched problem is pre-sented. In the proposed method, the discretization is replaced by dense sampling, the experiment scheme is replaced by individual, the fixed internal table is replaced by transformable population, and the optimal design scheme is got through genetic evolution process. The genetic algorithm for robust continuous parameter design in the target being best is presented and designed. The cal-culation flow, the individual coding, the individual fitness, the population initialization, decoding operation and genetic opera-tion are described. The effectiveness of the proposed method is validated by case study.关键词
参数稳健设计/望目特性/连续型参数/优化方法/遗传算法Key words
robust parameter design/target being best/continuous parameter/optimization method/genetic algorithm分类
管理科学引用本文复制引用
沈玲,曾强,宋红娜,吴立云..望目特性连续型参数稳健设计遗传优化方法[J].计算机工程与应用,2013,(23):215-220,251,7.基金项目
国家自然科学基金（No.51104056）；河南省教育厅科学技术研究项目（No.12B120005）。 （）
