| 网格环境下改进PSO算法的资源分配研究 |
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| 引用本文： | 郑志蕴,赵甜,张勇涛.网格环境下改进PSO算法的资源分配研究[J].计算机工程,2011,37(1):178-180. |
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| 作者姓名： | 郑志蕴 赵甜 张勇涛 |
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| 作者单位： | 1. 郑州大学信息工程学院,郑州,450001
2. 65549部队,辽宁,海城,114200 |
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| 基金项目： | 国家自然科学基金资助项目“受限域汉语问答系统研究”(6066300) |
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| 摘 要： | 针对网格计算中的资源分配问题，提出一种融合粒子群优化算法和遗传算法的新算法。通过在粒子群算法中引入遗传算法，有效克服粒子群算法容易陷入局部最优值这一固有缺陷，重新在搜索空间寻找全局最优值。该方法具有操作简单、设置参数少、收敛速度快等特点。仿真实验结果表明，该融合算法在网格资源分配方面能取得较好的效果。
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| 关 键 词： | 网格计算 资源分配 粒子群优化算法 |
Research on Resource Allocation for Improved PSO Algorithm in Grid Environment |
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| ZHENG Zhi-yun,ZHAO Tian,ZHANG Yong-tao.Research on Resource Allocation for Improved PSO Algorithm in Grid Environment[J].Computer Engineering,2011,37(1):178-180. |
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| Authors: | ZHENG Zhi-yun ZHAO Tian ZHANG Yong-tao |
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| Affiliation: | (1. School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China; 2. 65549 Troop, Haicheng 114200, China) |
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| Abstract: | This paper presents a new algorithm which integrates Particle Swarm Optimization(PSO) algorithm and Genetic Algorithm(GA) to solve the problem of resource allocation. According to the introduction of GA in the PSO algorithm, it effectively overcomes the inherent flaw of getting local optimal value by PSO algorithm and finds the global optimum value in the search space again. The method is simple, needs to set less parameters and speed up the convergence rate. Simulation results show the fusion algorithm achieves a better result in the aspect of grid resource allocation. |
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| Keywords: | grid computing resource allocation Particle Swarm Optimization(PSO) algorithm |
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