Multi objective optimization using PSO.

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?

[Walter Roberson]

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

[Jit]

sir multiple objectives is to minimize both tool wear and frequency..