Analysis of the publications on the applications of particle swarm optimisation
Journal of Artificial Evolution and Applications - Regular issue
Improved Particle Swarm Optimization algorithms for electromagnetic optimization
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Soft Computing and Applications
Hybrid Particle Swarm Optimization With Wavelet Mutation and Its Industrial Applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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An improved wavelet-based mutation particle swarm optimization (IWMPSO) algorithm is proposed in this paper in order to overcome the classic PSO's drawbacks such as the premature convergence and the low convergence speed. The IWMPSO introduces a wavelet-based mutation operator first and then the mutated particle replaces a selected particle with a small probability. The numerical experimental results on benchmark test functions show that the performance of the IWMPSO algorithm is superior to that of the other PSOs in references in terms of the convergence precision, convergence rate and stability. Moreover, a pattern synthesis of linear antennas array is implemented successfully using the algorithm. It further demonstrates the effectiveness of the IWMPSO algorithm.