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基于分等级搜索的可持续进化算法研究 被引量:6

Study on Sustainable Evolutionary Algorithm Based on Hierarchical Search
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摘要 通过分析标准遗传算法在可持续性进化方面的缺陷,提出了HFC模型及其运算流程,并给出了详细的数学描述。HFC算法的分等级搜索方式改进了标准遗传算法的缺陷,是一种能实现可持续性进化的算法模型。HFC模型不仅能确保种群的多样性,而且保证了个体间的公平竞争。实例验证了HFC模型和标准遗传算法在相同问题上的不同效果。 This paper proposed the HFC (Hierarchical Fair Competition) model and its operation flow, and described amply the algorithm of the model by mathematics. The hierarchical searching mode of the algorithm improves the flaw of standard genetic algorithm. As a kind of sustainable evolution model, the HFC model can guarantee the multiplicity of the population, and ensure the fair competition during individuals. In addition, regarding wire question as the example of application, the evolution course of HFC model has been realized through the GA platform and MATLAB software. Finally, this paper proves that compared with the standard genetic algorithm the HFC model has superiority even more.
出处 《中国机械工程》 EI CAS CSCD 北大核心 2006年第11期1162-1165,1187,共5页 China Mechanical Engineering
基金 国家自然科学基金资助项目(50575047 50475185) 贵州省科学技术基金资助项目([2005]2113)
关键词 分等级搜索 可持续进化算法 标准遗传算法 适应性函数 HFC模型 hierarchical search sustainable evolutionary algorithm standard genetic algorithm adaptability function HFC model
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参考文献5

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二级参考文献9

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