电子学报2012，Vol.40Issue(2)：327-330,4.DOI:10.3969/j.issn.0372-2112.2012.02.019
噪声环境下多模态函数优化的遗传算法
Genetic Algorithm for Multi-Modal Function Optimization in Noisy Environments
摘要
Abstract
An in-depth study was carried out on the genetic algorithm for MPO(Multi-modal function optimization) in noise environment.The effect of noise on MFO was theoretically analyzed.The probability of searching global area and the precision of global convergence were proposed to analyze the global convergence of genetic algorithm for MFO. It was found that the complexity of Multi-modal function and the strength of noise have influence on the performance of genetic algorithm for MFO. The result shows resampling method could lower the effect of noise,and the performance of MPGA and DCGA was better than that of EGA.关键词
遗传算法/多模函数优化/噪声环境Key words
genetic algorithm/Multi-modal function optimization/noise environment分类
信息技术与安全科学引用本文复制引用
李军华,黎明..噪声环境下多模态函数优化的遗传算法[J].电子学报,2012,40(2):327-330,4.基金项目
国家自然科学基金(No.60963002) （No.60963002）
江西省自然科学基金(No.2009GZS0090,No.2010GZS0169) （No.2009GZS0090,No.2010GZS0169）
