| 改进粒子群优化（MPSO）算法在动 |
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| 引用本文： | 罗志平,周新志,王标. 改进粒子群优化（MPSO）算法在动[J]. 中国农村水利水电, 2007, 0(6): 43-45 |
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| 作者姓名： | 罗志平 周新志 王标 |
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| 作者单位： | 四川大学电子信息学院,成都,610064 |
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| 摘 要： | 基于在水资源不充足的情况下，对都江堰灌区六大渠干水资源的合理分配，使农业效益达到最大。首先建立灌区优化配水模型，并将粒子群优化算法（PSO）及其改进的算法应用于该模型。分别对标准PSO、两种改进PSO（MPSO）算法与遗传算法进行仿真对比，结果显示采用PSO算法及其MPSO在农业经济效益上可获得更好的寻优效果，提高了水资源的利用率。
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| 关 键 词： | 都江堰灌区 农业效益 配水模型 粒子群优化算法(PSO) 改进PSO（MPSO） |
| 文章编号： | 1007-2284（2007）06-0043-03 |
| 修稿时间： | 2007-01-29 |
Application of Modified Particle Swarm Optimization Algorithm (MPSO) in Dynamic Water Allocation |
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| LUO Zhi-ping,ZHOU Xin-zhi,WANG Biao. Application of Modified Particle Swarm Optimization Algorithm (MPSO) in Dynamic Water Allocation[J]. China Rural Water and Hydropower, 2007, 0(6): 43-45 |
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| Authors: | LUO Zhi-ping ZHOU Xin-zhi WANG Biao |
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| Affiliation: | School of Electronic and Information Engineering, Sichuan University, Chengdu 610064, China |
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| Abstract: | The maximum agriculture benefits are obtained through rational allocation of water resources of six main canals in the Dujiangyan Irrigation District with the background of water resources scarcity.The model of optimal water distribution for the irrigation district is established,and the particle swarm optimization algorithm(PSO) and modified particle swarm optimization algorithm(MPSO) are applied in this model.Compared the simulation results of these algorithms with those of Genetic Algorithm(GA),it is indicated that PSO and MPSO can gain better effect of agricultural benefit through optimization,and the efficiencies of water resources utilization are improved. |
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| Keywords: | Dujiangyan Irrigation District agricultural benefit model of water distribution particle swarm optimization algorithm(PSO) modified PSO(MPSO) |
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