how to optimize this objective function using Particle Swarm Optimization ?? i want the full algorithm regarding this objective function.

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

where,

Feed(mm/rev)               0.1     0.2     0.3
DOC(mm)                    0.2     0.3     0.4
RPM                        500     1250    2000

Answer 1

[Walter Roberson]

http://www.mathworks.co.uk/matlabcentral/answers/69077-optimization-using-particle-swarm-optimization

[Jit]

sir i couldnt understand where pso is applied in this algorithm.

[Walter Roberson]

Use the code given in that post to determine the optimal solution. Then write your PSO code to essentially do nothing and say that the solution has already been found.

There is no point in using PSO to solve a problem that only has a small finite number of states: just test all of the states instead.