Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016WR019854 |
GALAXY: A new hybrid MOEA for the optimal design of Water Distribution Systems | |
Wang, Q.1; Savic, D. A.2; Kapelan, Z.2 | |
2017-03-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:3 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; England |
英文摘要 | A new hybrid optimizer, called genetically adaptive leaping algorithm for approximation and diversity (GALAXY), is proposed for dealing with the discrete, combinatorial, multiobjective design of Water Distribution Systems (WDSs), which is NP-hard and computationally intensive. The merit of GALAXY is its ability to alleviate to a great extent the parameterization issue and the high computational overhead. It follows the generational framework of Multiobjective Evolutionary Algorithms (MOEAs) and includes six search operators and several important strategies. These operators are selected based on their leaping ability in the objective space from the global and local search perspectives. These strategies steer the optimization and balance the exploration and exploitation aspects simultaneously. A highlighted feature of GALAXY lies in the fact that it eliminates majority of parameters, thus being robust and easy-to-use. The comparative studies between GALAXY and three representative MOEAs on five benchmark WDS design problems confirm its competitiveness. GALAXY can identify better converged and distributed boundary solutions efficiently and consistently, indicating a much more balanced capability between the global and local search. Moreover, its advantages over other MOEAs become more substantial as the complexity of the design problem increases. |
英文关键词 | hybrid algorithm exploration and exploitation multiobjective design Water Distribution System |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000400160500017 |
WOS关键词 | EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION ; GENETIC ALGORITHM ; COMBINATORIAL OPTIMIZATION ; METAHEURISTICS ; DECOMPOSITION ; DIVERSITY ; SEARCH |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20142 |
专题 | 资源环境科学 |
作者单位 | 1.Guangdong Univ Technol, Sch Civil & Transportat Engn, Guangzhou, Guangdong, Peoples R China; 2.Univ Exeter, Coll Engn Math & Phys Sci, Ctr Water Syst, Exeter, Devon, England |
推荐引用方式 GB/T 7714 | Wang, Q.,Savic, D. A.,Kapelan, Z.. GALAXY: A new hybrid MOEA for the optimal design of Water Distribution Systems[J]. WATER RESOURCES RESEARCH,2017,53(3). |
APA | Wang, Q.,Savic, D. A.,&Kapelan, Z..(2017).GALAXY: A new hybrid MOEA for the optimal design of Water Distribution Systems.WATER RESOURCES RESEARCH,53(3). |
MLA | Wang, Q.,et al."GALAXY: A new hybrid MOEA for the optimal design of Water Distribution Systems".WATER RESOURCES RESEARCH 53.3(2017). |
条目包含的文件 | 条目无相关文件。 |
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