Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR026031 |
Do Existing Multiobjective Evolutionary Algorithms Use a Sufficient Number of Operators? An Empirical Investigation for Water Distribution Design Problems | |
Wang, Peng1,2; Zecchin, Aaron C.1; Maier, Holger R.1,2; Zheng, Feifei2; Newman, Jeffrey P.1 | |
2020-05-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2020 |
卷号 | 56期号:5 |
文章类型 | Article |
语种 | 英语 |
国家 | Australia; Peoples R China |
英文摘要 | Multiobjective evolutionary algorithms (MOEAs) have been used extensively to solve water resources problems. Their success is dependent on how well the operators that control an algorithm's search behavior are able to identify near-optimal solutions. As commonly used MOEAs contain a relatively small number of operators (generally between 2 and 7), this study investigates whether the performance of MOEAs could potentially be improved by increasing their operator set size. This is done via a series of controlled computational experiments isolating the influence of the size of the operator set (i.e., how many operators are used, ranging from 2 to 12), the composition of the operator set (i.e., which operators are used, given a set number of operators), the search strategy used (e.g., parent selection and survivor selection), and increasing the operator set size of an existing MOEA. These experiments are performed on six benchmark water distribution optimization problems. Results of the 3,150 optimization runs indicate that operator set size is the dominant factor affecting algorithm performance, having a significantly greater influence than operator set composition and other factors affecting algorithm search behavior. In addition, increasing the operator set size of the state-of-the-art MOEA GALAXY, which has been designed specifically for solving water distribution optimization problems, from its currently used value of 6 to 12 increased its performance significantly. These results suggest there is value in investigating the potential of increasing operator set size for a range of algorithms and problem types. |
英文关键词 | multiobjective evolutionary algorithms operators water distribution system design optimization Borg GALAXY NSGA-II |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000537736400041 |
WOS关键词 | GENETIC ALGORITHM ; OPTIMIZATION ; BORG |
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/280657 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Adelaide, Sch Civil Environm & Min Engn, Adelaide, SA, Australia; 2.Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Peng,Zecchin, Aaron C.,Maier, Holger R.,et al. Do Existing Multiobjective Evolutionary Algorithms Use a Sufficient Number of Operators? An Empirical Investigation for Water Distribution Design Problems[J]. WATER RESOURCES RESEARCH,2020,56(5). |
APA | Wang, Peng,Zecchin, Aaron C.,Maier, Holger R.,Zheng, Feifei,&Newman, Jeffrey P..(2020).Do Existing Multiobjective Evolutionary Algorithms Use a Sufficient Number of Operators? An Empirical Investigation for Water Distribution Design Problems.WATER RESOURCES RESEARCH,56(5). |
MLA | Wang, Peng,et al."Do Existing Multiobjective Evolutionary Algorithms Use a Sufficient Number of Operators? An Empirical Investigation for Water Distribution Design Problems".WATER RESOURCES RESEARCH 56.5(2020). |
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