particle swarm algorithm (PSO)

How can i use linear inequality constraint with particle swarm algorithm (PSO)

Answer 1

[Alan Weiss]

Sorry, particleswarm does not accept any constraints except for bounds. I suggest that you use patternsearch instead, which accepts all types of constraints, and is usually more efficient than particleswarm anyway. If you need to look for a global optimum, try the suggestion here for multiple starting points.

Alan Weiss

MATLAB mathematical toolbox documentation

[tahseen alshmary]

Dear sir can i use this command with pso [x,fval,exitflag,output,population,scores] = particleswarm(ObjectiveFunction,nvars,A,b,Aeq,beq,LB,UB,nonlcon,IntCon,options)

[Alan Weiss]

No. Please consult the particleswarm function reference page, or my previous answer.

Alan Weiss

MATLAB mathematical toolbox documentation

[nanou]

@Alan Weiss I saw in paper intitiled (A Fast and Unified Method to Find a Minimum-Jerk Robot Joint Trajectory Using Particle Swarm-Lin2013) that PSO accept nonlinear constraint (nonlcon).

[Alan Weiss]

Maybe some PSO implementations accept nonlinear constraints, but the MATLAB Global Optimization Toolbox version does not. You can find the latest function reference page here.

Alan Weiss

MATLAB mathematical toolbox documentation

[Lalit Upadhyaya]

Please suggest some other sources for implementing linear inequality constraint with particle swarm algorithm (PSO).