作者
Yiannis G Petalas, Konstantinos E Parsopoulos, Michael N Vrahatis
发表日期
2007/12
期刊
Annals of operations research
卷号
156
页码范围
99-127
出版商
Springer US
简介
We propose a new Memetic Particle Swarm Optimization scheme that incorporates local search techniques in the standard Particle Swarm Optimization algorithm, resulting in an efficient and effective optimization method, which is analyzed theoretically. The proposed algorithm is applied to different unconstrained, constrained, minimax and integer programming problems and the obtained results are compared to that of the global and local variants of Particle Swarm Optimization, justifying the superiority of the memetic approach.
引用总数
学术搜索中的文章
YG Petalas, KE Parsopoulos, MN Vrahatis - Annals of operations research, 2007