关键词: 区域水资源配置, 改进的CSO算法, 多目标优化, 群智能优化算法,

Abstract: In order to solve problems of regional water resource allocation,we constructed an optimum water resource allocation model,in which minimum water shortage in the water-receiving unit and minimum water shortage of minimum ecological flow at control section were taken as objective functions.Also,reservoir group operation was taken into account in this model.On the basis of chicken-swarm optimization(CSO)algorithm,we proposed an improved chicken-swarm optimization algorithm by improving initial population generation mode and learning formula of chickens.Then,we adopted the improved CSO algorithm to analyze water resource allocation of Shuozhou-Datong water-receiving area in the planning of Shanxi water network.The results showed that the water resource allocation model was reasonable and effective,the improved CSO algorithm could avoid local optima and had excellent optimization performance,which could be used in water resource optimal allocation.

Key words: regional water resource allocation, improved chicken-swarm optimization algorithm, multi-objective optimization, swarm intelligence optimization algorithm