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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| Format: | Article |
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Elsevier B.V.
2011
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