| contributor author | Ajay Kumar Gupta | |
| contributor author | Rakesh Kumar Shrivastava | |
| date accessioned | 2017-05-08T21:41:33Z | |
| date available | 2017-05-08T21:41:33Z | |
| date copyright | March 2010 | |
| date issued | 2010 | |
| identifier other | %28asce%29ee%2E1943-7870%2E0000159.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/59557 | |
| description abstract | A new approach that links genetic algorithm (GA) as an optimization tool with Monte Carlo simulation (MCS)-based reliability program is presented for reliability-constrained optimal design of water treatment plant (WTP). The reliability of a WTP is defined as the probability that it can achieve the desired effluent water quality standard (WQS). The objective function minimizes the treatment cost, subjected to design and performance constraints, and to achieve desired reliability level for meeting the given effluent WQS. The random variables used to generate the reliability estimates are suspended solids ( | |
| publisher | American Society of Civil Engineers | |
| title | Reliability-Constrained Optimization of Water Treatment Plant Design Using Genetic Algorithm | |
| type | Journal Paper | |
| journal volume | 136 | |
| journal issue | 3 | |
| journal title | Journal of Environmental Engineering | |
| identifier doi | 10.1061/(ASCE)EE.1943-7870.0000150 | |
| tree | Journal of Environmental Engineering:;2010:;Volume ( 136 ):;issue: 003 | |
| contenttype | Fulltext | |
