Small worlds: the dynamics of networks between order and randomness
Small worlds: the dynamics of networks between order and randomness
Review of meta-heuristics and generalised evolutionary walk algorithm
International Journal of Bio-Inspired Computation
Modified biogeography-based optimisation (MBBO)
International Journal of Bio-Inspired Computation
International Journal of Wireless and Mobile Computing
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
International Journal of Bio-Inspired Computation
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Watts-Strogatz particle swarm optimisation WSPSO is a new variant of particle swarm optimisation by employing small-world topology. In this variant, the topology of each particle is changed dynamically according to Watts-Strogatz rules within the whole evolutionary process. In this paper, WSPSO is employed to solve the directing orbits of chaotic systems, simulation results show this new variant increases the performance significantly when compared with other three variants of particle swarm optimisation.