| contributor author | Guangtao Fu | |
| contributor author | Zoran Kapelan | |
| contributor author | Joseph R. Kasprzyk | |
| contributor author | Patrick Reed | |
| date accessioned | 2017-05-08T22:03:40Z | |
| date available | 2017-05-08T22:03:40Z | |
| date copyright | November 2013 | |
| date issued | 2013 | |
| identifier other | %28asce%29wr%2E1943-5452%2E0000359.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/70172 | |
| description abstract | This paper reports the use of many-objective optimization for water distribution system (WDS) design or rehabilitation problems. The term many-objective optimization refers to optimization with four or more objectives. The increase in the number of objectives brings new challenges for both optimization and visualization. This study uses a multiobjective evolutionary algorithm termed the epsilon Nondominated Sorted Genetic Algorithm II ( | |
| publisher | American Society of Civil Engineers | |
| title | Optimal Design of Water Distribution Systems Using Many-Objective Visual Analytics | |
| type | Journal Paper | |
| journal volume | 139 | |
| journal issue | 6 | |
| journal title | Journal of Water Resources Planning and Management | |
| identifier doi | 10.1061/(ASCE)WR.1943-5452.0000311 | |
| tree | Journal of Water Resources Planning and Management:;2013:;Volume ( 139 ):;issue: 006 | |
| contenttype | Fulltext | |
