Balanced data gathering strategy based on ant colony algorithm in WSNs
International Journal of Wireless and Mobile Computing
Study on collaborative filtering recommendation algorithm based on web user clustering
International Journal of Wireless and Mobile Computing
International Journal of Computing Science and Mathematics
An improved particle swarm optimisation for solving generalised travelling salesman problem
International Journal of Computing Science and Mathematics
Study on image retrieval system base on multi-objective and multi-instance learning
International Journal of Wireless and Mobile Computing
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This paper proposes a new particle swarm optimisation (PSO) algorithm based on simulated annealing (SA) with adaptive jump strategy to alleviate some of the limitations of the standard PSO algorithm. In this algorithm, swarm particles jump into the space to find new solutions. The jump radius is selected adaptively based on the particle velocity and its distance from the global best position. The designed algorithm has been tested on benchmark optimisation functions and on known autoregressive exogenous (ARX) model design problem. The results are superior as compared to the existing PSO methods. Finally, the designed algorithm has been applied for the analysis of the dynamic cerebral autoregulation mechanism.