Multi-Objective Swarm Intelligent Systems

Theory & Experiences

This book covers the latest in multi-objective swarm intelligence and cooperative behavior. It contains innovative and intriguing applications as well as additions to the methodology and theory of genetic programming.

Experimental results indicate that MOCPSOhasahigher convergence speed and
better exploratory capabilities thanMOPSO, especially when the number of
objectives is large, and that the fusion methodbasedon MOCPSO is
issuitableformany types of pixel-levelimage fusion andcan realize the
Paretooptimalimage fusion. N. Nedjah et al. (Eds.): Multi-Objective Swarm
Intelligent Systems, SCI 261, pp. 151–178. springerlink.com c Springer-Verlag
Berlin Heidelberg 2010 7.1 Introduction ...