| 一种基于人工鱼群和文化算法的新型混合全局优化算法* |
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| 引用本文： | 刘凌子,周永权.一种基于人工鱼群和文化算法的新型混合全局优化算法*[J].计算机应用研究,2009,26(12):4446-4448. |
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| 作者姓名： | 刘凌子 周永权 |
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| 作者单位： | 广西民族大学,数学与计算机科学学院,南宁,530006 |
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| 基金项目： | 国家自然科学基金资助项目(60461001)；广西自然科学基金资助项目(0832082,0991086)；国家民委科研基金资助项目（08GX01）；广西民族大学科研项目启动基金资助项目 |
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| 摘 要： | 提出一种基于人工鱼群和文化算法的新型混合全局优化算法，该混合算法的思想是将人工鱼群嵌入文化算法框架中，作为种群空间的一个进化过程；通过从进化种群中获得的知识组成知识空间，两空间具有各自群体并独立并行演化，从而实现增加人工鱼群的群体多样性。最后通过数值实例仿真结果表明，本算法具有较高的计算精度和收敛速度。
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| 关 键 词： | 双演化 人工鱼群算法 文化算法 混合算法 |
Hybrid global optimization algorithm based on artificial fish swarm and cultural algorithm |
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| LIU Ling-zi,ZHOU Yong-quan.Hybrid global optimization algorithm based on artificial fish swarm and cultural algorithm[J].Application Research of Computers,2009,26(12):4446-4448. |
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| Authors: | LIU Ling-zi ZHOU Yong-quan |
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| Affiliation: | (College of Mathematics & Computer Science, Guangxi University for Nationalities, Nanning 530006, China) |
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| Abstract: | This paper proposed a hybrid global optimization algorithm based on artificial fish swarm and cultural algorithm. The algorithm embedded in the cultural algorithm framework consisted of an AFSA-based main population space and a knowledge spec from the evolving population, which respectively had its own population to evolve independently and parallel. The mechanism improved the population diversity. Finally by comparison computed result of the example, it can be found that this proposed algorithm illustrates its higher the computational accuracy and convergence rate. |
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| Keywords: | dual evolution artificial fish swarm algorithm(AFSA) cultural algorithm(CA) hybrid algorithm |
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