| contributor author | Hyo Seon Park | |
| contributor author | Yun Han Kwon | |
| contributor author | Ji Hyun Seo | |
| contributor author | Byung-Hun Woo | |
| date accessioned | 2017-05-08T20:59:42Z | |
| date available | 2017-05-08T20:59:42Z | |
| date copyright | December 2006 | |
| date issued | 2006 | |
| identifier other | %28asce%290733-9445%282006%29132%3A12%281890%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/34702 | |
| description abstract | Even though several genetic algorithm (GA)-based optimization algorithms have been successfully applied to complex optimization problems in various engineering fields, such methods are computationally too expensive for practical use in the field of structural optimization, particularly for large-scale problems. Furthermore, the successful implementation of GA-based optimization algorithm requires a cumbersome routine through trial-and-error for tuning the GA parameters that are different depending on each problem. Therefore, to overcome these difficulties, a high-performance GA is developed in the form of a distributed hybrid genetic algorithm for structural optimization, implemented on a cluster of personal computers. The distributed hybrid genetic algorithm proposed in this paper consists of a | |
| publisher | American Society of Civil Engineers | |
| title | Distributed Hybrid Genetic Algorithms for Structural Optimization on a PC Cluster | |
| type | Journal Paper | |
| journal volume | 132 | |
| journal issue | 12 | |
| journal title | Journal of Structural Engineering | |
| identifier doi | 10.1061/(ASCE)0733-9445(2006)132:12(1890) | |
| tree | Journal of Structural Engineering:;2006:;Volume ( 132 ):;issue: 012 | |
| contenttype | Fulltext | |
