摘要
基于多目标非支配排序遗传算法原理,建立佳木斯地区农业多水源灌溉系统多目标供水优化配置模型。运用非支配排序遗传算法求解,结果表明,模型可达到经济目标较大时环境目标较小效果。选取三个方案权衡分析经济和环境目标,高来水情景中方案一经济目标是88.88×10~8元,环境目标588.12×10~4kg,方案二分别是88.00×10~8元,580.55×10~4kg,方案三分别是85.56×10~8元,574.50×10~4kg。在三个不同最优解中,决策者可根据偏好或实际情况选择决策方案,为当地农业水资源规划提供依据。
Based on a multi-objective genetic algorithm NSGA-II, this paper established a multi- objective optimal allocation model of water supply system in Jiamusi agricultural multi water composite system. The results showed that multi-objective programming model achieved larger economic benefits and less environmental benefit by applying the NSGA-II genetic algodthm. Through making a tradeoff between economic benefits and environmental benefits, in high flow, the first scheme economic benefit was 88.88×10^8 yuan, the environmental benefit was 588.12 ×10^4 kg, the second scheme＇s was 88.00×10^8 yuan, 580.55 ×10^4 kg, and the third scheme＇s was 85.56 ×10^8 yuan, 574.50 ×10^4 kg. This was three different sets of optimal solutions, and decision makers could choose appropriate solutions as a decision according to the actual situation or preference, which could provide a basis for the local agricultural water resources planning.
作者
付强
鲁雪萍
李天霄
Fu Qiang LU Xueping El Tianxiao(School of Conservancy ＆ Civil Engineering, Northeast Agricultural University, Harbin, 150030, China Key Laboratory of High Efficient Utilization of Agricultural Water Resources, 150030, China)
出处
《东北农业大学学报》
CAS
CSCD
北大核心
2017年第3期63-71,共9页
Journal of Northeast Agricultural University
基金
国家自然科学基金(51479032
51579044
51609039)
黑龙江省高校长江学者后备支持计划项目
黑龙江省水利科技项目(201318
201503)
关键词
农业灌溉
非支配排序遗传算法
多水源
多目标优化
水量分配
agricultural irrigation
non dominated sorting genetic algorithm
multi sources
multi objective optimization
water allocation
