| contributor author | Mohamed B. Trabia | |
| date accessioned | 2017-05-09T00:13:45Z | |
| date available | 2017-05-09T00:13:45Z | |
| date copyright | November, 2004 | |
| date issued | 2004 | |
| identifier issn | 1050-0472 | |
| identifier other | JMDEDB-27795#969_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/130441 | |
| description abstract | This paper presents a novel hybrid genetic algorithm that has the ability of the genetic algorithms to avoid being trapped at local minimum while accelerating the speed of local search by using the fuzzy simplex algorithm. The new algorithm is labeled the hybrid fuzzy simplex genetic algorithm (HFSGA). Standard test problems are used to evaluate the efficiency of the algorithm. The algorithm is also applied successfully to several engineering design problems. The HFSGA generally results in a faster convergence toward extremum. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | A Hybrid Fuzzy Simplex Genetic Algorithm | |
| type | Journal Paper | |
| journal volume | 126 | |
| journal issue | 6 | |
| journal title | Journal of Mechanical Design | |
| identifier doi | 10.1115/1.1803852 | |
| journal fristpage | 969 | |
| journal lastpage | 974 | |
| identifier eissn | 1528-9001 | |
| keywords | Algorithms | |
| keywords | Genetic algorithms AND Engineering design | |
| tree | Journal of Mechanical Design:;2004:;volume( 126 ):;issue: 006 | |
| contenttype | Fulltext | |
