A comparison of optimization methods in cutting parameters using Non-Dominated Sorting Genetic Algorithm (Nsga-Ii) and Micro Genetic Algorithm (Mga)
Since cutting conditions have an influence on reducing the production cost and time and deciding thequality of a final product the determination of optimal cutting parameters such as cutting speed, feedrate, depth of cut and tool geometry is one of vital modules in process planning of metal parts. W...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Computer Science Journals
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/37884/2/IJEA-20.pdf http://eprints.utm.my/id/eprint/37884/ http://www.cscjournals.org/manuscript/Journals/IJEA/volume2/Issue2/IJEA-20.pdf |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |