| contributor author | David E. Goldberg | |
| contributor author | Chie Hsiung Kuo | |
| date accessioned | 2017-05-08T21:12:07Z | |
| date available | 2017-05-08T21:12:07Z | |
| date copyright | April 1987 | |
| date issued | 1987 | |
| identifier other | %28asce%290887-3801%281987%291%3A2%28128%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/42571 | |
| description abstract | The application of a genetic algorithm to the steady state optimization of a serial liquid pipeline is considered. Genetic algorithms are search procedures based upon the mechanics of natural genetics, combining a Darwinian survival‐of‐the‐fittest philosophy with a random yet structured information exchange among a population of artificial chromosomes. Computer results show surprising speed as near‐optimal results are obtained after examining a small fraction of the search space. The method is ready for application to more difficult optimization problems in civil engineering. | |
| publisher | American Society of Civil Engineers | |
| title | Genetic Algorithms in Pipeline Optimization | |
| type | Journal Paper | |
| journal volume | 1 | |
| journal issue | 2 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)0887-3801(1987)1:2(128) | |
| tree | Journal of Computing in Civil Engineering:;1987:;Volume ( 001 ):;issue: 002 | |
| contenttype | Fulltext | |
