| contributor author | D. Nagesh Kumar | |
| contributor author | M. Janga Reddy | |
| date accessioned | 2017-05-08T21:08:13Z | |
| date available | 2017-05-08T21:08:13Z | |
| date copyright | May 2007 | |
| date issued | 2007 | |
| identifier other | %28asce%290733-9496%282007%29133%3A3%28192%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/40073 | |
| description abstract | This paper presents an efficient and reliable swarm intelligence-based approach, namely elitist-mutated particle swarm optimization (EMPSO) technique, to derive reservoir operation policies for multipurpose reservoir systems. Particle swarm optimizers are inherently distributed algorithms, in which the solution for a problem emerges from the interactions between many simple individuals called particles. In this study the standard particle swarm optimization (PSO) algorithm is further improved by incorporating a new strategic mechanism called | |
| publisher | American Society of Civil Engineers | |
| title | Multipurpose Reservoir Operation Using Particle Swarm Optimization | |
| type | Journal Paper | |
| journal volume | 133 | |
| journal issue | 3 | |
| journal title | Journal of Water Resources Planning and Management | |
| identifier doi | 10.1061/(ASCE)0733-9496(2007)133:3(192) | |
| tree | Journal of Water Resources Planning and Management:;2007:;Volume ( 133 ):;issue: 003 | |
| contenttype | Fulltext | |
