A particle swarm optimization model for tracking multiple peaks over a multimodal fitness landscape is described here. Multimodal optimization amounts to finding multiple global and local optima (as opposed to a single solution) of a function, so that ...
In this paper an extensive theoretical and empirical analysis of recently introduced Particle Swarm Optimization algorithm with Convergence Related parameters (CR-PSO) is presented. The convergence of the classical PSO algorithm is addressed in detail. ...
In this paper, we propose a local quantum-behaved particle swarm optimization (LQPSO) as a generalized local search operator. The LQPSO is incorporated into a main quantum-behaved particle swarm optimization (QPSO), which leads to a hybrid QPSO scheme ...
Springer-Verlag
Berlin, Heidelberg
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