| contributor author | Hamid-Reza Asgari | |
| contributor author | Omid Bozorg Haddad | |
| contributor author | Maryam Pazoki | |
| contributor author | Hugo A. Loáiciga | |
| date accessioned | 2017-05-08T22:29:39Z | |
| date available | 2017-05-08T22:29:39Z | |
| date copyright | February 2016 | |
| date issued | 2016 | |
| identifier other | 46757875.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/81506 | |
| description abstract | This study introduces the weed optimization algorithm (WOA) to optimal reservoir operation. The WOA is a metaheuristic optimization method inspired by weeds’ life cycle. The effectiveness of the WOA is demonstrated with the optimization of mathematical functions and reservoir systems. The WOA is applied in continuous-time and discrete-time formulations of reservoir-operation optimization and its results are compared with global optimal solutions obtained with nonlinear programming (NLP), linear programming (LP), and the genetic algorithm (GA). The results show the WOA’s fast convergence to solutions that are very near the global optimal solutions of the reservoir optimization problems. | |
| publisher | American Society of Civil Engineers | |
| title | Weed Optimization Algorithm for Optimal Reservoir Operation | |
| type | Journal Paper | |
| journal volume | 142 | |
| journal issue | 2 | |
| journal title | Journal of Irrigation and Drainage Engineering | |
| identifier doi | 10.1061/(ASCE)IR.1943-4774.0000963 | |
| tree | Journal of Irrigation and Drainage Engineering:;2016:;Volume ( 142 ):;issue: 002 | |
| contenttype | Fulltext | |
