How do I tune parameters for PSO?

How do I tune parameters for PSO?

Tuning parameters for Particle Swarm Optimization (PSO) involves adjusting values like the number of particles, inertia weight, and cognitive/social coefficients. What specific aspect are you interested in?

What are the best values for inertia weight?

A common range for inertia weight is between 0.4 and 0.9. It helps balance exploration and exploitation. Would you like to know how to adjust it based on your problem?

Yes, how should I adjust it?

You can start with a higher inertia weight to encourage exploration and gradually decrease it to focus on exploitation as the swarm converges. Testing different values can help find the optimal setting.

What about the cognitive and social coefficients?

Typically, cognitive and social coefficients are set between 1.5 and 2.0. A common choice is to set both to 2.0 to balance individual and group learning. Would you like more details on their impact?