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基于种群规模可变的粗粒度并行遗传算法
Parallel Genetic Algorithm Based on Population Size Mutable Coarse-grained
【摘要】 在科学计算领域 ,并行计算越来越成熟 ,并行遗传算法开始受到关注 .本文分析了遗传算法并行化的动机和实现模型 ,提出了一种新算法——基于种群规模可变的粗粒度并行遗传算法 ,仿真结果验证了这种新算法的有效性和合理性
【Abstract】 Parallel computing is growing more successful in science computation,and a lot of increasing attentions are paid to parallel genetic algorithm.This paper analyzes some parallelization motivations and implementation models for genetic algorithm.In addition,a new parallel genetic algorithm based on Population Size Mutable Coarse grained is proposed,Furthermore,the simulation results show the algorithm’s effectiveness.
【关键词】 并行遗传算法(PGA);
并行性;
遗传算法(GA);
【Key words】 parallel genetic algorithm(PGA); parallelism; genetic algorithm(GA);
【Key words】 parallel genetic algorithm(PGA); parallelism; genetic algorithm(GA);
【基金】 ~~
- 【文献出处】 小型微型计算机系统 ,Mini-micro Systems , 编辑部邮箱 ,2003年03期
- 【分类号】TP301.6
- 【被引频次】28
- 【下载频次】244