| 粒子群和人工鱼群混合优化算法 |
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| 引用本文： | 罗德相,周永权,黄华娟.粒子群和人工鱼群混合优化算法[J].计算机与应用化学,2009,26(10). |
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| 作者姓名： | 罗德相 周永权 黄华娟 |
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| 作者单位： | 广西民族大学数学与计算机科学学院,广西,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(0542048;0832082) |
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| 摘 要： | 提出基于粒子群的人工鱼群混合优化算法,该算法综合利用人工鱼群算法的良好全局收敛性和粒子群算法的局部快速收敛性、易实现性等优点,克服人工鱼群算法收敛速度慢及粒子群算法后期全局收敛差的缺点,发挥了两者的优越性,并成功应用于求解具有变量边界约束的非线性的复杂函数最优化问题和求解复杂化学方程根的问题。仿真结果表明,混合粒子群算法不仅具有较好的全局收敛性能,而且具有较快的收敛速度。
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| 关 键 词： | 粒子群算法 人工鱼群算法 混合算法 化学方程 函数优化 |
Hybrid optimization algorithm based on particle swarm and artificial fish swarm algorithm |
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| Luo Dexiang,Zhou Yongquan,Huang Huajuan.Hybrid optimization algorithm based on particle swarm and artificial fish swarm algorithm[J].Computers and Applied Chemistry,2009,26(10). |
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| Authors: | Luo Dexiang Zhou Yongquan Huang Huajuan |
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| Affiliation: | College of Math and Computer Science Guangxi University for Nationalities;Nanning;530006;Guangxi;China |
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| Abstract: | Based on artificial fish swarm algorithm(AFSA) and particle swarm optimization(PSO),a hybrid particle swarm optimization algorithm is proposed.This method makes full use of the global convergent performance of AFSA and the quickly local convergent performance of PSO,overcomes the deficiencies of the AFSA and PSO,meanwhile exploits the two's advantage.This algorithm is successfully used for optimizing complex nonlinear function and solving complex chemistry equation roots.The numerical simulation results sho... |
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| Keywords: | particle swarm optimization artificial fish swarm algorithm hybrid algorithm chemistry equation function optimization |
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