Department of Computing, School of Informatics, City University of London, London EC1V 0HB, UK.
Particle Swarm Optimization (PSO) is an innovative and competitive optimization technique for numerical optimization with real-parameter representation. This paper examines the working mechanism of PSO in a principled manner with forma analysis and investigates the applicability of PSO on the Quadratic Assignment Problem (QAP). Particularly, the derived PSO operator for QAP is empirically studied against a Genetic Algorithm (GA).
Particle Swarm Optimization, Forma Analysis, Permutation Problems
