摘要
结合已有水资源优化配置模型,提出了基于免疫进化的粒子群算法,并将该方法应用于濮阳灌区,对其农业水资源进行优化配置.实例计算表明,该混合算法克服了已有算法中初期信息素匮乏,易陷于局部最优解等不足,结果合理,且计算较为简单,可为灌区水资源配置提供理论依据和决策参考.
The particle swarm optimization based on immune evolution was proposed combining the existing optimal allocation model of water resources and this algorithm was applied to the optimal allocation of agricultural water resources of Puyang irrigated region.The calculation results showed that the compound algorithm had overcome the shortages of the existing algorithm which lacked initial information and easily fell into local optimal solutions in the solving process,and the results were reasonable and the calculation was simple.It could provide a theoretical basis and decision-making references for the optimal allocation of water resources in the irrigated areas.
出处
《华北水利水电学院学报》
2011年第5期35-38,共4页
North China Institute of Water Conservancy and Hydroelectric Power
基金
"948"资助项目(201047)
国家自然基金资助项目(41071025)
河南省骨干教师资助项目
2009年度河南省教育厅自然科学研究资助项目(2009A170004)
河南省科技发展计划(092102310197)
华北水利水电学院高层次人才启动项目(200514)
关键词
灌区
水资源
优化配置
免疫进化算法
粒子群算法
irrigated area
water resources
optimal allocation
immune evolution algorithm
particle swarm optimization
