A particle swarm with selective particle regeneration for multimodal functions
WSEAS Transactions on Information Science and Applications
WSEAS Transactions on Circuits and Systems
Integral Particle Swarm Optimization with Dispersed Accelerator Information
Fundamenta Informaticae - Swarm Intelligence
Individual predicted integral-controlled particle swarm optimisation
International Journal of Innovative Computing and Applications
Hierarchical cluster-based multispecies particle-swarm optimization for fuzzy-system optimization
IEEE Transactions on Fuzzy Systems
Expert Systems with Applications: An International Journal
Particle swarm optimization with selective particle regeneration for data clustering
Expert Systems with Applications: An International Journal
Particle swarm algorithm with hybrid mutation strategy
Applied Soft Computing
Applied Computational Intelligence and Soft Computing
International Journal of Bio-Inspired Computation
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part II
The block diagram method for designing the particle swarm optimization algorithm
Journal of Global Optimization
Artificial Intelligence in Medicine
Integral Particle Swarm Optimization with Dispersed Accelerator Information
Fundamenta Informaticae - Swarm Intelligence
Improved particle swarm optimization with wavelet-based mutation operation
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
Particle swarm optimisation with differential mutation
International Journal of Intelligent Systems Technologies and Applications
A team-oriented approach to particle swarms
Applied Soft Computing
Unsupervised nonparametric method for gait analysis using a waist-worn inertial sensor
Applied Soft Computing
A granulation of linguistic information in AHP decision-making problems
Information Fusion
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A new hybrid particle swarm optimization (PSO) that incorporates a wavelet-theory-based mutation operation is proposed. It applies the wavelet theory to enhance the PSO in exploring the solution space more effectively for a better solution. A suite of benchmark test functions and three industrial applications (solving the load flow problems, modeling the development of fluid dispensing for electronic packaging, and designing a neural-network-based controller) are employed to evaluate the performance and the applicability of the proposed method. Experimental results empirically show that the proposed method significantly outperforms the existing methods in terms of convergence speed, solution quality, and solution stability.