Genetic algorithm simulated annealing to estimate optimal process parameters of the abrasive waterjet machining
In this study, two computational approaches, Genetic Algorithm and Simulated Annealing, are applied to search for a set of optimal process parameters value that leads to the minimum value of machining performance. The objectives of the applied techniques are: (1) to estimate the minimum value of the...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer U K
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/44946/ http://dx.doi.org/10.1007/s00366-010-0195-5 |
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| Institution: | Universiti Teknologi Malaysia |