Water resources optimal allocation based on multi-objective genetic algorithm

被引：0
|
作者：
Liu Meixia [1 ]
Wu Xinmiao [1 ]
机构：
[1] Agr Univ Hebei, Baoding 071001, Peoples R China
来源：
PROCEEDINGS OF THE 2007 INTERNATIONAL CONFERENCE ON AGRICULTURE ENGINEERING | 2007年
关键词：
multi-objective Genetic Algorithm; water resources optimal allocation; Pareto optimization solution;
D O I：
暂无
中图分类号：
S2 [农业工程];
学科分类号：
0828 ;
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.
引用
收藏
页码：87 / 91
页数：5
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