水利水电技术2018，Vol.49Issue(4)：18-26,9.DOI:10.13928/j.cnki.wrahe.2018.04.003
改进鲸鱼算法在多目标水资源优化配置中的应用
Application of ameliorative whale optimization algorithm to optimal allocation of multi-objective water resources
摘要
Abstract
In order to make whale optimization algorithm (WOA) better to solve the complicated problem from the optimal allocation of multi-objective water resources,the location of the population is initialized with Logistic mapping for enhancing the quality of the initialized location of population at first,and then inertia weight is added to enhance the local search ability,so as to realize the amelioration of WOA.Secondly,the ameliorative whale optimization algorithm (AWOA) is applied to the Handan water resources optimal allocation model which takes the maximizations of both the economic benefit and social benefit (the minimization of water shortage) therein as its target.At last,by taking solving the obtained minimization of water shortage in the Pareto front as the special preference,the iterative processes and the solving results of AWOA,WOA and particle swarm optimization (PSO) are compared and analyzed.In the aspect of the iterative process,AWOA has a faster converging speed than that of PSO and WOA,in which the converging speed of WOA is the slowest.The analysis on the iterative results shows that both the economic benefit and social benefit obtained from AWOA are better than those got from WOA and PSO.Therefore,both the converging speed and converging accuracy of AWOA are largely enhanced,thus it is feasible and effective to be applied to solve the optimal allocation of multi-objective water resources.关键词
水资源/优化配置/改进鲸鱼算法/缺水量最小Key words
water resources/optimal allocation/AWOA/minimization of water shortage分类
计算机与自动化引用本文复制引用
沙金霞..改进鲸鱼算法在多目标水资源优化配置中的应用[J].水利水电技术,2018,49(4):18-26,9.基金项目
河北省科技计划项目(15227005D) （15227005D）
河北省教育厅科学研究计划项目(QN2016233,ZD2016131) （QN2016233,ZD2016131）
