Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1109/CEC.2018.8477712 |
A Computational Comparison of Evolutionary Algorithms for Water Resource Planning for Agricultural and Environmental Purposes | |
Montgomery, James1; Fitzgerald, Andrew2; Randall, Marcus3; Lewis, Andrew4 | |
通讯作者 | Montgomery, James |
会议名称 | IEEE Congress on Evolutionary Computation (IEEE CEC) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI) |
会议日期 | JUL 08-13, 2018 |
会议地点 | Rio de Janeiro, BRAZIL |
英文摘要 | The use of water resources for agricultural purposes, particularly in arid and semi-arid regions, is a matter of increasing concern across the world. Optimisation techniques can play an important role in improving the allocation of land to different crops, based on a utility function (such as net revenue) and the water resources needed to support these. Recent work proposed a model formulation for an agricultural region in the Murrumbidgee Irrigation Area of the Murray-Darling River basin in Australia, and found that the well-known NSGA-II technique could produce sensible crop mixes while preserving ground and surface water for environmental purposes. In the present study we apply Differential Evolution using two different solution representations, one of which explores the restricted space in which no land is left fallow. The results improve on those of the prior NSGA-II and demonstrate that a combination of solution representations allows Differential Evolution to more thoroughly explore the multiobjective space of profit versus environment. |
英文关键词 | water resource management crop planning differential evolution NSGA-II |
来源出版物 | 2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) |
出版年 | 2018 |
页码 | 86-93 |
EISBN | 978-1-5090-6017-7 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Australia |
收录类别 | CPCI-S |
WOS记录号 | WOS:000451175500013 |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS研究方向 | Computer Science ; Engineering |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/307811 |
作者单位 | 1.Univ Tasmania, Sch Technol Environm & Design, Hobart, Tas, Australia; 2.Tasmanian Govt, Dept Primary Ind Pk Water & Environm, Hobart, Tas, Australia; 3.Bond Univ, Bond Business Sch, Gold Coast, Australia; 4.Griffith Univ, Sch Informat & Commun Technol, Nathan, Qld, Australia |
推荐引用方式 GB/T 7714 | Montgomery, James,Fitzgerald, Andrew,Randall, Marcus,et al. A Computational Comparison of Evolutionary Algorithms for Water Resource Planning for Agricultural and Environmental Purposes[C]:IEEE,2018:86-93. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。