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一种人工鱼算法与捕鱼算法相结合的优化方法 被引量：7

AN OPTIMIZATION APPROACH COMBINING ARTIFICIAL FISH-SWARM AND FISHING STRATEGY
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摘要 在分析人工鱼群算法和捕鱼算法存在不足的基础上,提出了一种人工鱼群算法(AFSA)与采用捕鱼策略的优化算法(FSOA)相结合的混合算法。该算法在优化初期使用AFSA算法搜索局部最优域,而在优化后期则使用FSOA算法在优化前期所初步确定的局部最优域中搜索最优解。实验计算结果表明,该算法具有优化精度高、收敛速度快的特点。 Based on analyzing the shortcomings of artificial fish-swarm algorithm（AFSA）and optimization algorithm on using fishing strategy（FSOA）,this paper presents a hybrid algorithm combining AFSA and FSOA.The strategy of this algorithm is that to use AFSA in initial stage of optimization to search local optimal domain but to use FSOA in later stage to search optimal solution within the local optimal domain primarily determined in the early stage.Results of experimental calculation indicate that the hybrid algorithm has the characteristics of highly precise in optimization and fast in convergence speed.
作者 陈建荣 王勇
机构地区 右江民族医学院 广西民族大学数学与计算机科学学院
出处 《计算机应用与软件》 CSCD 2011年第4期196-199,共4页 Computer Applications and Software
基金 广西自然科学基金项目(0832084)
关键词 人工鱼群算法(AFSA) 采用捕鱼策略的优化算法(FSOA) 全局优化 捕鱼策略 混合算法 Artificial fish swarm algorithm（AFSA） Optimization algorithm on using fishing strategy（FSOA） Global optimization Fishing strategy Hybrid algorithm
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
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共引文献961

同被引文献67

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计算机应用与软件
2011年 第4期

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