| contributor author | Saurabh Deshpande | |
| contributor author | Jonathan Cagan | |
| date accessioned | 2017-05-09T00:13:57Z | |
| date available | 2017-05-09T00:13:57Z | |
| date copyright | January, 2004 | |
| date issued | 2004 | |
| identifier issn | 1050-0472 | |
| identifier other | JMDEDB-27774#46_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/130566 | |
| description abstract | Many optimization problems, such as manufacturing process planning optimization, are difficult problems due to the large number of potential configurations (process sequences) and associated (process) parameters. In addition, the search space is highly discontinuous and multi-modal. This paper introduces an agent based optimization algorithm that combines stochastic optimization techniques with knowledge based search. The motivation is that such a merging takes advantage of the benefits of stochastic optimization and accelerates the search process using domain knowledge. The result of applying this algorithm to computerized manufacturing process models is presented. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | An Agent Based Optimization Approach to Manufacturing Process Planning | |
| type | Journal Paper | |
| journal volume | 126 | |
| journal issue | 1 | |
| journal title | Journal of Mechanical Design | |
| identifier doi | 10.1115/1.1641186 | |
| journal fristpage | 46 | |
| journal lastpage | 55 | |
| identifier eissn | 1528-9001 | |
| keywords | Manufacturing | |
| keywords | Algorithms | |
| keywords | Design | |
| keywords | Optimization | |
| keywords | Optimization algorithms AND Probability | |
| tree | Journal of Mechanical Design:;2004:;volume( 126 ):;issue: 001 | |
| contenttype | Fulltext | |
