多重群体遗传算法优化树状给水管网

该文提出一种以管网年费用为目标函数，以管长、标准管径和水泵扬程为决策变量的机压树状给水管网优化数学模型，并给出其多重群体遗传算法求解方法，该算法以目标函数加模拟退火约束惩罚函数为适应值的评价函数，采用跨世代选择策略，更好地保持进化过程中的遗传多样性。仿真结果表明，该模型与算法在求解机压树状管网优化问题上的表现是良好的。

Multi-group genetic algorithms for optimization of pumping tree pipe network

In this paper,a new kind of model for optimization of pumping tree pipe network and its solving method by Multi-Group genetic algorithms were proposed, in which the annual cost was used as an object function, the length and diameter and pump head were used as optimum variables. In order to keep the astringency and the variety, the fitness function is the sum of the object function and simulating annealing penalty function, and the cross generational selection technique is adopted in this algorithms.The simulation results indicate that the performance of the model and algorithms on pumping tree pipe network is excellent.