| contributor author | Patricia Brackin | |
| contributor author | ASME Mem. | |
| contributor author | Jonathan S. Colton | |
| contributor author | ASME Fellow | |
| date accessioned | 2017-05-09T00:06:59Z | |
| date available | 2017-05-09T00:06:59Z | |
| date copyright | June, 2002 | |
| date issued | 2002 | |
| identifier issn | 1530-9827 | |
| identifier other | JCISB6-25915#106_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/126465 | |
| description abstract | As part of a strategy for obtaining preliminary design specifications from the House of Quality, genetic algorithms are used to generate and optimize preliminary design specifications for an automotive case study. This paper describes the House of Quality for an automotive case study. In addition, the genetic algorithm chosen, the genetic coding, the methods used for mutation and reproduction, and the fitness and penalty functions are described. Methods for determining convergence are examined. Finally, test results show that the genetic algorithm produces reasonable preliminary design specifications. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Using Genetic Algorithms to Set Target Values for Engineering Characteristics in the House of Quality | |
| type | Journal Paper | |
| journal volume | 2 | |
| journal issue | 2 | |
| journal title | Journal of Computing and Information Science in Engineering | |
| identifier doi | 10.1115/1.1504847 | |
| journal fristpage | 106 | |
| journal lastpage | 114 | |
| identifier eissn | 1530-9827 | |
| keywords | Genetic algorithms | |
| keywords | Engines AND Design | |
| tree | Journal of Computing and Information Science in Engineering:;2002:;volume( 002 ):;issue: 002 | |
| contenttype | Fulltext | |
