基于混合粒子群算法的供热管网优化设计

摘要

By analyzing the optimization model of heat supply network,a heat supply network obj ective function,i.e., the heat supply network investment cost,was established,then the fitness function was established on the basis of the obj ec-tive function and constraint conditions of heat supply network.To solve this nonlinear model with the particle swarm optimi-zation 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 obj ective function with the hydraulic constraint was sought.The re-sults 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.%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。