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基于遗传粒子群算法的供水系统优化调度
引用本文:杨坤,翟金刚.基于遗传粒子群算法的供水系统优化调度[J].鲁东大学学报,2010,26(2).
作者姓名:杨坤  翟金刚
作者单位:鲁东大学,数学与信息学院,山东,烟台,264025 
摘    要:针对某城市供水系统,建立了大型供水系统的多目标混合离散变量的优化调度模型,采用遗传粒子群混合算法对调度模型进行了求解,实现了该供水系统的直接优化调度,并与传统遗传算法优化调度的过程及结果进行了对比,新算法在优化时间、优化结果及求解效率等方面都具有较强的优越性.

关 键 词:粒子群算法  供水系统  优化调度

Optimal Scheduling of Water Supply Systems Based on Genetic Particle Swarm Algorithms
YANG Kun,ZHAI Jin-gang.Optimal Scheduling of Water Supply Systems Based on Genetic Particle Swarm Algorithms[J].Ludong University Journal (Natural Science Edition),2010,26(2).
Authors:YANG Kun  ZHAI Jin-gang
Institution:YANG Kun,ZHAI Jin-gang(School of Mathematics , Information,Ludong University,Yantai 264025,China)
Abstract:An optimal operation model with multi-objective mixed discrete variables is established for large-scale water supply systems of some city,and the model is solved by using genetic particle swarm algorithms.Simulation results of the water supply network are compared with those given by using genetic algorithms(GA) to solve the same problem under the same conditions.New algorithms shows better performance on time optimization,result optimization,improving effiency and etc.
Keywords:particle swarm algorithms  water supply systems  optimal scheduling  
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