Simple adaptive cognition for PSO

Abstract—A simple, effective, computationally cheap, and easily tuned method is presented for improving PSO performance by automatically adapting acceleration coefficients. While this approach can be shown to be effective on its own as a source of swarm diversity on difficult functions, it is also capable of enhancing other adaptive strategies commonly employed with PSO. Significantly, and unlike many other PSO enhancements designed to improve swarm diversity, this approach does not typically harm the performance of the underlying method, allowing it to work well on easy and difficult functions alike.

• Type: Journal
• Year: 2011
• Where: CEC
• Authors: Christopher K. Monson
• Keywords: Acceleration, Adaptive Strategies, Artificial Intelligence, CEC 2011, Swarm