Cellular Automata: A Discrete View of the World (Wiley Series in Discrete Mathematics & Optimization)
Cellular PSO: A PSO for Dynamic Environments
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Parameter selection of a Particle Swarm Optimisation dynamics by closed loop stability analysis
International Journal of Computing Science and Mathematics
An Intelligent Parameter Selection Method for Particle Swarm Optimization Algorithm
CSO '11 Proceedings of the 2011 Fourth International Joint Conference on Computational Sciences and Optimization
Cellular particle swarm optimization
Information Sciences: an International Journal
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
An improved particle swarm optimisation for solving generalised travelling salesman problem
International Journal of Computing Science and Mathematics
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Particle swarm optimisation PSO algorithm is easy to fall into local optimum, so an improved PSO based on cellular automata is proposed by combining cellular automata CA with PSO. In the proposed CAPSO, each particle of particle swarm is considered as cellular automata, and is distributed in two-dimensional grid. The state update of each cell is not only related to its own state and the neighbour state, but also related with the state of the optimal cell. If the state is too close with the optimal cell, then the cell state is re-update. Simulation experiments on typical test functions show that, compared with other algorithms, the proposed algorithm has good robustness, strong local search ability and global optimisation ability, and can solve the optimisation problems effectively.