How to solve problem with particle swarm optimization?

I want to define an objective function (any function e.g. ax+b) in addition to error function (e.g. mean square error) with particle swarm optimization? I want to minimize the objective function ad want to find the least erroe

Answer 1

[Alan Weiss]

I am not sure that I understand you. Do you have Global Optimization Toolbox with the particleswarm solver? If so, then what do you need?

Perhaps you are looking for instructions on how to perform a least-squares curve fit using a general optimizer. There are several examples in the documentation:

• Curve Fitting Via Optimization
• Nonlinear Data-Fitting

If I misunderstand what you are seeking, please elaborate on your question.

Alan Weiss

MATLAB mathematical toolbox documentation

[Ammy]

I want to do artificial neural network with particle swarm optimization,