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一种基于灾变的多群体遗传算法

A Catastrophe-based Parallel Genetic Algorithm

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【作者】 余文李人厚

【Author】 YU Wen LI Renhou( Systems Engineering Institute of Xi’an Jiaotong University , Xi’an710049)

【机构】 西安交通大学系统工程研究所西安交通大学系统工程研究所 西安710049西安710049

【摘要】 在多群体遗传算法的实现中,迁移算子常会产生大量通信开销,也不利于搜索出多个模态峰点。针对上述不足,提出了一种改进’’的多群体遗传算法,用灾变产生新个体方式代替子群体之间的迁移效果,同时提出了尖点灾变模型及灾变发生的分歧条件。各子群遗传方式受灾变条件的控制。仿真结果验证了算法的有效性。

【Abstract】 Often exist the high communication costs requested in the processes of parallelization of GA because of the migration between the sub-populations, and also the migration operator would destroy the island’s characteristic so that the problem of homogeneity between the sub-populations may occur in the convergence phase. Considering the above deficiency, this paper presents a multi-population processing method. Some of new or good genetic materials are created by catastrophe rather than based on the migration .The genetic mechanism of the population is partly dominated by a model called cusp-catastrophe. The catastrophe condition is investigated and applied in the approach. The simulation results show the effectiveness of this approach.

  • 【文献出处】 计算机工程 ,Computer Engineering , 编辑部邮箱 ,2001年07期
  • 【分类号】TP18
  • 【被引频次】19
  • 【下载频次】190
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