Multi objective optimization using PSO.
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Variables Levels
-1 0 1
Feed(mm/rev) 0.1 0.2 0.3
DOC(mm) 0.2 0.3 0.4
RPM 500 1250 2000
Tool wear =
0.0076390+ 0.000024*FEED+ 0.001581*RPM+ 0.000422*DEPTH OF CUT+ 0.000389* FEED*FEED + 0.000663*RPM*RPM - 0.000849*FEED*RPM - 0.000749*FEED*DEPTH OF CUT + 0.000704*RPM*DEPTH OF CUT
Frequency=
5238.27+ 969.94* FEED +741.55 * RPM - 1.30* DEPTH OF CUT - 1009.47* FEED*FEED +635.10 * RPM*RPM -452.33 * FEED*RPM
HOW CAN I DO MULTI OBJECTIVE OPTIMIZATION USING PSO?
2 个评论
Walter Roberson
2013-4-6
What would the multiple objectives be? Minimize tool wear, maximize frequency for example? Suppose the optimum tool wear is not the optimum frequency?
Why do this through PSO at all when there is a simple vectorized computation for it? http://www.mathworks.co.uk/matlabcentral/answers/69077-optimization-using-particle-swarm-optimization
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