Genetic algorithm and 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 London
2010
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/26208/ http://dx.doi.org/10.1007/s00366-010-0195-5 |
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| Institution: | Universiti Teknologi Malaysia |
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