| contributor author | Kuan-Chen Fu | |
| contributor author | Yujia Zhai | |
| contributor author | Saijun Zhou | |
| date accessioned | 2017-05-08T21:25:18Z | |
| date available | 2017-05-08T21:25:18Z | |
| date copyright | May 2005 | |
| date issued | 2005 | |
| identifier other | %28asce%291084-0702%282005%2910%3A3%28291%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/50832 | |
| description abstract | The genetic algorithm (GA) is a general optimization technique that has some unique features that are especially suitable for structural engineering problems. This work uses a simple GA with elitism to find the optimum design of welded steel plate girder bridges. The objectives are to minimize the weight and the cost of the girders. Two types of plate-girder bridges are studied: a single-span bridge and a two-equal-span continuous bridge. Bridges with various span lengths, in increments of | |
| publisher | American Society of Civil Engineers | |
| title | Optimum Design of Welded Steel Plate Girder Bridges Using a Genetic Algorithm with Elitism | |
| type | Journal Paper | |
| journal volume | 10 | |
| journal issue | 3 | |
| journal title | Journal of Bridge Engineering | |
| identifier doi | 10.1061/(ASCE)1084-0702(2005)10:3(291) | |
| tree | Journal of Bridge Engineering:;2005:;Volume ( 010 ):;issue: 003 | |
| contenttype | Fulltext | |
