An improved particle swarm optimisation based on cellular automata

作者：Dai, Yuntao^*; Liu, Liqiang; Li, Ying; Song, Jingyi

来源：International Journal of Computing Science and Mathematics, 2014, 5(1): 94-106.

DOI：10.1504/IJCSM.2014.059385

• Global optimisation
• Improved particle swarms
• Optimisation problems
• Optimisations
• Particle swarm optimisation
• Particle swarm optimisation algorithms
• Test functions
• Two-dimensional grids

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.

• 出版日期2014
• 单位哈尔滨工程大学