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.
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 optimi- zation, result optimization, improving effiency and etc.
出处
《鲁东大学学报（自然科学版）》
2010年第2期127-131,共5页
Journal of Ludong University:Natural Science Edition
基金
山东省教育厅基金项目(J05C05)
关键词
粒子群算法
供水系统
优化调度
particle swarm algorithms
water supply systems
optimal scheduling
