摘要
提出一种并行小生境混合遗传退火算法,并对该算法的特点和优化性能作了定性分析,该并行算法调用了MPI并行库,采用Master-Slaver结构,融入小生境淘汰技术。并应用该算法优化典型的多峰值测试函数—Shubert函数,结果表明这种并行后的算法提高原小生境混合遗传退火算法进化速度,增强全局寻优能力。
A new parallel optimization method based on niching hybrid genetic simulated annealing algorithm is proposed in this paper. And the new method’s features are discussed. Then it is applied to the Shubert function, a representative multi-model optimization problem. The experimental results verify that the proposed parallel method improves the convergence efficiency, enhances the ability of global searching.
出处
《计算机与数字工程》
2007年第7期13-15,共3页
Computer & Digital Engineering
关键词
并行演化算法
小生境
遗传算法
模拟退火
parallel evolutionary algorithm, niching,genetic annealing,simulated annealing
作者简介
汪渭春,男,硕士研究生,研究方向:演化算法.
