Please use this identifier to cite or link to this item: https://doi.org/10.1007/s00170-005-0191-x
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dc.titleMulti-objective optimization of high-speed milling with parallel genetic simulated annealing
dc.contributor.authorWang, Z.G.
dc.contributor.authorWong, Y.S.
dc.contributor.authorRahman, M.
dc.contributor.authorSun, J.
dc.date.accessioned2014-06-17T06:28:00Z
dc.date.available2014-06-17T06:28:00Z
dc.date.issued2006-11
dc.identifier.citationWang, Z.G., Wong, Y.S., Rahman, M., Sun, J. (2006-11). Multi-objective optimization of high-speed milling with parallel genetic simulated annealing. International Journal of Advanced Manufacturing Technology 31 (3-4) : 209-218. ScholarBank@NUS Repository. https://doi.org/10.1007/s00170-005-0191-x
dc.identifier.issn02683768
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/60844
dc.description.abstractIn this paper, the optimization of multi-pass milling has been investigated in terms of two objectives: machining time and production cost. An advanced search algorithm-parallel genetic simulated annealing (PGSA)-was used to obtain the optimal cutting parameters. In the implementation of PGSA, the fitness assignment is based on the concept of a non-dominated sorting genetic algorithm (NSGA). An application example is given using PGSA, which has been used to find the optimal solutions under four different axial depths of cut on a 37 SUN workstation network simultaneously. In a single run, PGSA can find a Pareto-optimal front which is composed of many Pareto-optimal solutions. A weighted average strategy is then used to find the optimal cutting parameters along the Pareto-optimal front. Finally, based on the concept of dynamic programming, the optimal cutting strategy has been obtained. © Springer-Verlag London Limited 2006.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s00170-005-0191-x
dc.sourceScopus
dc.subjectGenetic algorithm
dc.subjectHigh-speed milling
dc.subjectMulti-objective optimization
dc.typeArticle
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1007/s00170-005-0191-x
dc.description.sourcetitleInternational Journal of Advanced Manufacturing Technology
dc.description.volume31
dc.description.issue3-4
dc.description.page209-218
dc.description.codenIJATE
dc.identifier.isiut000243103600001
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