基于粒子群的大系统优化模型在灌区水资源优化配置中的应用  

Application of large scale system model based on particle swarm optimization to optimal allocation of water resources in irrigation areas

作　　者：陈晓楠[1] 段春青[2] 邱林[2] 黄强[1] 

机构地区：[1]西安理工大学水利水电学院,西安710048 [2]华北水利水电学院水利学院,郑州450011

出　　处：《农业工程学报》2008年第3期103-106,共4页Transactions of the Chinese Society of Agricultural Engineering

基　　金：河南省高校创新人才培养工程项目(HNCX2003-17)

摘　　要：针对灌区水资源优化配置模型存在等式约束的特点,在分析粒子群算法寻优策略的基础上,建立了基于粒子群的大系统优化模型。同时,提出有效的控制粒子速度大小的方法,克服了粒子因速度过大易逃出约束空间而造成程序中断的不足,成功地将粒子群优化算法应用于作物灌溉制度的寻优中。利用此模型将有限的水资源分配到灌区中的不同子区、子区中的不同作物以及作物的各生育阶段,取得了较好的效果。Aiming at the problems with equality constraints for the optimization model of water allocation in the irrigation areas and according to the features of particle swarm optimization, the large scale system model based on the optimal algorithm was developed. Meanwhile an improved particle swarm optimization which can strictly control the speed of each particle was suggested. The deficiency of the model that the speed of each particle is so high that the particle is easy to escape the constraint space causing the interruption of computer programme was overcome. The model was applied to the optimal allocation of water resources in irrigation areas, for example, the limited water resource is allocated to the different subareas, different crops in the subareas and different growth stages of crops. The model is proved to be effective and efficient.

关 键 词：粒子群算法 大系统 水资源优化配置 灌区 

分 类 号：S274.1[农业科学—农业水土工程]