基于混合粒子群算法的供热管网优化设计
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引用本文:张方舟,谢会敏.基于混合粒子群算法的供热管网优化设计[J].计算技术与自动化,2016,(4):61-65
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作者单位
张方舟,谢会敏 (东北石油大学 计算机与信息技术学院,黑龙江 大庆163318) 
中文摘要:供热管网优化设计一直是多年来城市地下管网工程中的研究热点。通过分析供热管网的优化模型,建立关于供热管网的目标函数即供热管网投资费用,根据供热管网的目标函数及约束条件建立适应度函数。利用粒子群优化算法对该非线性模型进行求解,借鉴遗传算法中变异操作的思想,设计基于遗传算法的混合粒子群算法,寻求在水力约束条件下目标函数的最小值。实例结果表明,将粒子群优化算法应用于供热管网优化设计可以取得较好的优化结果,并且充分的体现出粒子群算法的寻优能力。
中文关键词:供热管网  目标函数  粒子群优化算法  遗传算法  水力约束条件
 
Optimization Design of Heat Supply Network Based on Hybrid Particle Swarm Algorithm
Abstract:By analyzing the optimization model of heat supply network, a heat supply network objective function, i.e., the heat supply network investment cost, was established, then the fitness function was established on the basis of the objective function and constraint conditions of heat supply network. To solve this nonlinear model with the particle swarm optimization algorithm, by using the idea of the mutation operation of genetic algorithm, a hybrid particle swarm algorithm based on genetic algorithm was designed, and the minimum of objective function with the hydraulic constraint was sought. The results show that the application of the particle swarm optimization algorithm in the optimization design of heat supply network can achieve better optimization results, and the searching capability of the particle swarm algorithm can be fully embodied.
keywords:heat supply network  objective function  particle swarm optimization algorithm  genetic algorithm  hydraulic constraints
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