Integration of simulated annealing and genetic algorithm to estimate optimal solutions for minimising surface roughness in end milling Ti-6AL-4V
In this study, simulated annealing (SA) and genetic algorithm (GA) soft computing techniques are integrated to search for a set of optimal cutting conditions value that leads to the minimum value of machining performance. Two integration systems are proposed; integrated SA-GA-type1 and integrated SA...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Taylor & Francis
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/29210/ http://dx.doi.org/10.1080/0951192X.2011.566629 |
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