| contributor author | B.-K. Choi | |
| contributor author | B.-S. Yang | |
| date accessioned | 2017-05-09T00:04:55Z | |
| date available | 2017-05-09T00:04:55Z | |
| date copyright | January, 2001 | |
| date issued | 2001 | |
| identifier issn | 1528-8919 | |
| identifier other | JETPEZ-26802#78_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/125240 | |
| description abstract | In this paper, the combined optimization algorithm (immune-genetic algorithm) is proposed for multioptimization problems by introducing the capability of the immune system to the genetic algorithm. The optimizing ability of the proposed combined algorithm is identified by comparing the result of optimization with sharing genetic algorithm for the two-dimensional multipeak function. Also the combined algorithm is applied to minimize the total weight of the shaft and the transmitted forces at the bearings. The results show that the combined algorithm can reduce both the weights of the shaft and the transmitted forces at the bearing with dynamic constraints. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Multiobjective Optimum Design of Rotor-Bearing Systems With Dynamic Constraints Using Immune-Genetic Algorithm | |
| type | Journal Paper | |
| journal volume | 123 | |
| journal issue | 1 | |
| journal title | Journal of Engineering for Gas Turbines and Power | |
| identifier doi | 10.1115/1.1338952 | |
| journal fristpage | 78 | |
| journal lastpage | 81 | |
| identifier eissn | 0742-4795 | |
| keywords | Algorithms | |
| keywords | Bearings | |
| keywords | Rotors | |
| keywords | Design | |
| keywords | Optimization AND Genetic algorithms | |
| tree | Journal of Engineering for Gas Turbines and Power:;2001:;volume( 123 ):;issue: 001 | |
| contenttype | Fulltext | |
