| 水系统优化的粒子群算法分析 |
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| 引用本文： | 段海涛,刘永忠,冯霄.水系统优化的粒子群算法分析[J].华北电力大学学报,2007,34(2):41-44. |
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| 作者姓名： | 段海涛 刘永忠 冯霄 |
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| 作者单位： | 西安交通大学,化学工程系,陕西,西安,710049 |
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| 基金项目： | 国家自然科学基金
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陕西省西安市科技攻关项目 |
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| 摘 要： | 针对水系统集成优化问题,采用4种粒子群算法进行求解,并对算法进行了改进。通过算例分析了粒子群算法用于水系统优化时的计算特性。研究表明:在水系统集成优化时,基于混沌局部搜索的粒子群算法较适于该问题的计算。
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| 关 键 词： | 水系统集成 粒子群算法 优化 |
| 文章编号： | 1007-2691(2007)02-0041-4 |
| 修稿时间： | 2006年9月30日 |
Study on particle swarm optimization algorithm for water system integration |
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| DUAN Hai-tao,LIU Yong-zhong,FENG Xiao.Study on particle swarm optimization algorithm for water system integration[J].Journal of North China Electric Power University,2007,34(2):41-44. |
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| Authors: | DUAN Hai-tao LIU Yong-zhong FENG Xiao |
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| Abstract: | Four kinds of particle swarm optimization(PSO) algorithms are employed to investigate the optimization of water system.The chaotic partial searching is introduced to improve the quantum PSO algorithm.A mathematical model of a water-reuse network is demonstrated.The computational performances of the chaotic partial searching algorithm and quantum PSO algorithm are compared and analyzed through a case study on water system integration.The result shows that the two PSO algorithms are feasible and the chaotic searching PSO is more effective. |
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| Keywords: | water system integration particle swarm optimization algorithm optimization |
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