Small worlds: the dynamics of networks between order and randomness
Small worlds: the dynamics of networks between order and randomness
The landscape adaptive particle swarm optimizer
Applied Soft Computing
Layout optimization of satellite module using soft computing techniques
Applied Soft Computing
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Dispersed particle swarm optimization
Information Processing Letters
Tackling magnetoencephalography with particle swarm optimization
International Journal of Bio-Inspired Computation
Improved strategy of particle swarm optimisation algorithm for reactive power optimisation
International Journal of Bio-Inspired Computation
Robust decoupling control of BTT vehicle based on PSO
International Journal of Bio-Inspired Computation
International Journal of Bio-Inspired Computation
Particle swarm optimisation based Diophantine equation solver
International Journal of Bio-Inspired Computation
Group-decided Watts-Strogatz particle swarm optimisation
International Journal of Computational Science and Engineering
International Journal of Wireless and Mobile Computing
A hybrid intelligent data classification algorithm
International Journal of Wireless and Mobile Computing
International Journal of Wireless and Mobile Computing
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Group-decided Watts-Strogatz Particle Swarm Optimisation (GWSPSO) is a new novel variant of Particle Swarm Optimisation (PSO) that aims to enhance the escaping capability from local optimum by incorporating group decision mechanism and Watts-Strogatz small-world topology. In this paper, GWSPSO is employed to solve the directing orbits of chaotic systems, simulation results show this new variant increases the performance significantly when compared with the standard version of PSO.