Water Resources Optimal Allocation based on Multi-Objective Genetic Algorithm

摘要：

In this paper, multi-objective Genetic Algorithm based on parataxis choice is introduced to optimize water allocation. Fitness value is used to select the individual of every objective function, and then the selected individuals are recombined to perform crossing and mutation. The Pareto optimal solutions of water resources optimal allocation are obtained by carry on partition-parataxis choice-merger operation continually. The result of example proves that the method is reasonable in the application of water resources optimal allocation.

关键词： Multi-Objective Genetic Algorithm water resources optimal allocation Pareto optimization solution

作者: LIU Meixia WU Xinmiao

作者单位: Agricultural University of Hebei,071001,Baoding,China

会议类型: 国际会议

会议名称: 2007 International Conference on Agriculture Engineering(2007年农业工程国际会议)

会议地点: 河北保定

会议语种:英文

页码: 87-91

在线出版日期: 2007-10-20（万方平台首次上网日期，不代表论文的发表时间）