李双, 李文敬, 杨文, 周海燕. 基于多核PC的人工蜂群并行算法的研究与实现[J]. 微电子学与计算机, 2012, 29(9): 63-66,70.
引用本文: 李双, 李文敬, 杨文, 周海燕. 基于多核PC的人工蜂群并行算法的研究与实现[J]. 微电子学与计算机, 2012, 29(9): 63-66,70.
LI Shuang, LI Wen-jing, YANG Wen, ZHOU Hai-yan. Research and Implementation of Parallel Random Perturbation Artificial Bee Colony Algorithm Based on Multi-core PC[J]. Microelectronics & Computer, 2012, 29(9): 63-66,70.
Citation: LI Shuang, LI Wen-jing, YANG Wen, ZHOU Hai-yan. Research and Implementation of Parallel Random Perturbation Artificial Bee Colony Algorithm Based on Multi-core PC[J]. Microelectronics & Computer, 2012, 29(9): 63-66,70.

基于多核PC的人工蜂群并行算法的研究与实现

Research and Implementation of Parallel Random Perturbation Artificial Bee Colony Algorithm Based on Multi-core PC

  • 摘要: 针对人工蜂群算法搜索时间长、收敛速度缓慢、搜索后期极易陷入局部最优等问题,提出了一种人工蜂群并行算法(PRP-ABC).首先引入随机摄动因子和全局最优解两个策略得到串行式RP-ABC算法;然后应用OpenMP并行技术,采用主从式调度方式对串行算法并行改写;最后在多核PC上将三种算法在复杂函数优化问题上测试比较.结果表明,该算法有效提高了收敛速度和优化性能,尤其适用于高维复杂函数的优化问题.

     

    Abstract: As considering the problem of search time long,and easily into local optimal solution in later stage of evolution in Artificial Bee Colony(ABC) algorithm,a Parallel Random Perturbation Artificial Bee Colony(PRP-ABC) algorithm is proposed out.Firstly,introduced two concepts here which Random Perturbation factor and global optimal solution,get a serial type RP-ABC algorithm;Secondly,using OpenMP parallel rewrite it,this paper using master-slave scheduling model;Finally,tested the three algorithm about complex function optimization problem under the multi-core PC environment.The result shows that the algorithm convergence speed and the optimization performance had been improved,especially suitable for the high dimension of complex function optimization problems.

     

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