| 基于当前最优解的分段搜索策略的人工蜂群算法 |
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| 引用本文： | 毛力,周长喜,吴滨.基于当前最优解的分段搜索策略的人工蜂群算法[J].计算机科学,2015,42(12):263-267. |
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| 作者姓名： | 毛力 周长喜 吴滨 |
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| 作者单位： | 江南大学物联网工程学院 无锡214122轻工过程先进控制教育部重点实验室 无锡214122,江南大学物联网工程学院 无锡214122轻工过程先进控制教育部重点实验室 无锡214122,江南大学物联网工程学院 无锡214122轻工过程先进控制教育部重点实验室 无锡214122 |
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| 基金项目： | 本文受轻工过程先进控制教育部重点实验室(江南大学)开放课题项目(APCLI1004),国家青年科学基金项目(F030204),现代农业产业技术体系专项资金(CARS-49)资助 |
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| 摘 要： | 为了克服人工蜂群算法在求解函数优化问题中所存在的局部搜索能力差、收敛精度低的缺点,提出了一种基于当前最优解的分段搜索策略的人工蜂群算法。该算法中跟随蜂利用由全局当前最优解和个体当前最优解引导的局部搜索策略逐维进行变异,并采用基于“分段思想”的局部搜索策略对蜜源进行贪婪更新,以提高蜜源的更新效率,从而提高了人工蜂群算法的局部搜索能力。6个标准测试函数的仿真实验结果表明,与基本人工蜂群算法相比,改进后的人工蜂群算法在寻优精度和收敛速度上均有明显提高。
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| 关 键 词： | 人工蜂群算法 当前最优解 分段搜索 局部搜索 |
| 收稿时间： | 2014/12/7 0:00:00 |
| 修稿时间： | 2015/3/26 0:00:00 |
Artificial Bee Colony Algorithm Based on Strategy of Segmental-search with Current Optimal Solution |
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| MAO Li,ZHOU Chang-xi and WU Bin.Artificial Bee Colony Algorithm Based on Strategy of Segmental-search with Current Optimal Solution[J].Computer Science,2015,42(12):263-267. |
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| Authors: | MAO Li ZHOU Chang-xi and WU Bin |
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| Affiliation: | School of Internet of Things,Jiangnan University,Wuxi 214122,China Key Laboratory of Advanced Process Control for Light Industry Ministry of Education,Jiangnan University,Wuxi 214122,China,School of Internet of Things,Jiangnan University,Wuxi 214122,China Key Laboratory of Advanced Process Control for Light Industry Ministry of Education,Jiangnan University,Wuxi 214122,China and School of Internet of Things,Jiangnan University,Wuxi 214122,China Key Laboratory of Advanced Process Control for Light Industry Ministry of Education,Jiangnan University,Wuxi 214122,China |
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| Abstract: | An artificial bee colony (ABC) algorithm based on the strategy of segmental-search with current optimal solution was proposed in this paper,in order to overcome the drawbacks of poor local searching capability and slow convergence of conventional ABC algorithm.In this algorithm,onlooker bees utilize the local search strategy guided by the global current optimal solution and individual current optimal solution to mutate dimension,and the local search strategy based on the strategy of segmental-search is used to improve the updating rate of food sources,which enhances the local search capability of the algorithm.The simulation results of six standard functions show that the modified ABC algorithm can attain significant improvement on solution accuracy and convergence rate compared with the basic ABC algorithm. |
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| Keywords: | Artificial bee colony (ABC) Current optimal solution Segmental-search Local search |
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