| 多核环境下的粒子群算法 |
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| 引用本文： | 吴海,孙永雄,韩伟,厉延民.多核环境下的粒子群算法[J].吉林大学学报(信息科学版),2012,30(5):549-554. |
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| 作者姓名： | 吴海 孙永雄 韩伟 厉延民 |
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| 作者单位： | 吉林大学 a. 长春电信工程股份有限公司,b. 计算机科学与技术学院;c. 长邮通讯建设有限公司, 长春 130012 |
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| 摘 要： | 为解决基于多核计算环境下的粒子群优化问题,提出一种面向多核计算的改进粒子群算法.通过引入多核设计模式和方法,分析传统粒子群算法中可以并行执行的部分,并根据已有的多核编程语言,在多核计算环境下,高效、并行地实现粒子群算法.通过实验验证了改进算法在多核计算环境下运行的有效性.
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| 关 键 词： | 粒子群 改进粒子群 多核环境 优化算法 |
PSO Algorithm in Multi-Nuclear Environment |
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| WU Hai
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SUN Yong-xiong
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HAN Wei
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LI Yan-min.PSO Algorithm in Multi-Nuclear Environment[J].Journal of Jilin University:Information Sci Ed,2012,30(5):549-554. |
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| Authors: | WU Hai SUN Yong-xiong HAN Wei LI Yan-min |
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| Institution: | a. Changchun Telecom Engineering Design Institute Company Limited；b. College of Computer Science and Technology;c.Changyou Commanication Build Limited Company, Jilin University, Changchun 130012, China |
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| Abstract: | In order to solve the particle swarm optimization problems in the multi-nuclear environment,we presents an improved PSO(Particle Swarm Optimization) algorithm which is very efficient in multi-nuclear environment by introducing the multi-nuclear design patterns and methods and analyzing the corresponding part,which could be executed in parallel.The experiments show the improved algorithm is effective in this environment,comparing with the traditional PSO. |
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| Keywords: | particle swarm optimization(PSO) improved particle swarm optimization multi-nuclear environment optimization algorithm |
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