Optimization of process parameters in the abrasive waterjet machining using integrated SA-GA
In this study, Simulated Annealing (SA) and Genetic Algorithm (GA) soft computing techniques are integrated to estimate optimal process parameters that lead to a minimum value of machining performance. Two integration systems are proposed, labeled as integrated SA-GA-type1 and integrated SA-GA-type2...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Elsevier B.V.
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/29551/ http://dx.doi.org/10.1016/j.asoc.2011.05.024 |
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| Institution: | Universiti Teknologi Malaysia |