基于自由搜索的灌区优化配水模型研究

Optimized water rationing model based on Free Search for irrigation district

在求解优化配水问题时,遗传算法和粒子群算法是经常被采用的优化算法,然而在优化过程中可能出现早熟,从而会影响到配水模型的有效性。为此,本文引入一种新的基于动物群体的优化算法——自由搜索(FreeSearch)算法,并以实现单位灌溉水量的净收益最大为目标构建了灌区优化配水模型,设自由搜索中动物探查行走时的位置分量为模型寻优参数,应用自由搜索算法对模型进行优化求解。实例应用结果表明:与加速遗传算法和标准粒子群算法求解优化配水模型的结果相比,本文建立优化配水模型能为灌区提供更合理的优化配水方案,可使整个灌区及单位灌溉水量的净收益都获得显著增长。

The premature problem may occur to the optimization Algorithm and Particle Swarm Optimization are to be used. movements of animal group is introduced to impro benefit of unit irrigation water amount is regarded water rationing and the component of animal＇ s loc of irrigation water rationing when Genetic The Free Search （ FS ） simulating the ve the computation. In this algorithm the maximum net as the objective to establish the optimization model of ation vector is regarded as the parameter of optimization to realize the search of optimization. The practice example shows that the proposed method is better than the Accelerating Genetic Algorithm and Standard Particle Swarm Optimization and obviously elevates the net benefit per unit irrigation water in the whole irrigation district.