A novel hybrid immune algorithm for global optimization in design and manufacturing
This paper presents a new hybrid optimization approach based on immune algorithm and hill climbing local search algorithm. The purpose of the present research is to develop a new optimization approach for solving design and manufacturing optimization problems. This research is the first application...
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| Veröffentlicht in: | Robotics and computer-integrated manufacturing 2009-04, Vol.25 (2), p.261-270 |
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| container_title | Robotics and computer-integrated manufacturing |
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| creator | Yildiz, Ali Riza |
| description | This paper presents a new hybrid optimization approach based on immune algorithm and hill climbing local search algorithm. The purpose of the present research is to develop a new optimization approach for solving design and manufacturing optimization problems. This research is the first application of immune algorithm to the optimization of machining parameters in the literature. In order to evaluate the proposed optimization approach, single objective test problem, multi-objective I-beam and machine-tool optimization problems taken from the literature are solved. Finally, the hybrid approach is applied to a case study for milling operations to show its effectiveness in machining operations. The results of the hybrid approach for the case study are compared with those of genetic algorithm, the feasible direction method and handbook recommendation. |
| doi_str_mv | 10.1016/j.rcim.2007.08.002 |
| format | Article |
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| fulltext | fulltext |
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| ispartof | Robotics and computer-integrated manufacturing, 2009-04, Vol.25 (2), p.261-270 |
| issn | 0736-5845 1879-2537 |
| language | eng |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Design optimization Hill climbing Hybrid approach Immune algorithm Milling operation |
| title | A novel hybrid immune algorithm for global optimization in design and manufacturing |
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