广西科技大学学报Issue(3)：13-17,59,6.DOI:10.16375/j.cnki.cn45-1395/t.2015.03.003
多种群实数编码遗传算法在多峰函数优化中的应用
Application of Multiple Population Real Coded Genetic Algorithm to Multimodal Function Optimization
摘要
Abstract
The genetic algorithm has strong global searching ability, but its local searching ability is weak. This paper introduces multiple populations real coded genetic algorithm (MPRCGA) to optimize multimodal function. The different populations are endowed with different control parameters to guarantee both global and local search ability of MPRCGA. The immigration operator is used to contact multiple populations and realize co-evolution. The artificial selection operator is used to preserve the optimal individual as the criterion of termination in the evolution of multiple populations. The experimental results show that MPRCGA can not only solve the global minimum of the multimodal function, but also have high iterative optimization efficiency.关键词
遗传算法/多峰函数/多种群/实数编码/函数优化Key words
Genetic Algorithm/Multimodal Function/Multiple population/Real Coding/Function Optimization分类
数理科学引用本文复制引用
覃柏英,秦文东,林贤坤..多种群实数编码遗传算法在多峰函数优化中的应用[J].广西科技大学学报,2015,(3):13-17,59,6.基金项目
广西自然科学基金资助项目(2012GXNSFAA053208) （2012GXNSFAA053208）
广西教育厅科研项目(200103YB105) （200103YB105）
广西工学院博士科研基金(院科博1005)资助 （院科博1005）
