Computational intelligence PC tools
Computational intelligence PC tools
Genetic Algorithms and Manufacturing Systems Design
Genetic Algorithms and Manufacturing Systems Design
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
ICCIMA '05 Proceedings of the Sixth International Conference on Computational Intelligence and Multimedia Applications
Knowledge and Information Systems
The fully informed particle swarm: simpler, maybe better
IEEE Transactions on Evolutionary Computation
A Cooperative approach to particle swarm optimization
IEEE Transactions on Evolutionary Computation
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
IEEE Transactions on Evolutionary Computation
Frankenstein's PSO: a composite particle swarm optimization algorithm
IEEE Transactions on Evolutionary Computation
International Journal of Innovative Computing and Applications
Control of dead-time systems using derivative free particle swarm optimisation
International Journal of Bio-Inspired Computation
The optimisation research of screw conveyor
International Journal of Innovative Computing and Applications
Multi-agent simulated annealing algorithm based on particle swarm optimisation algorithm
International Journal of Computer Applications in Technology
Membrane quantum particle swarm optimisation for cognitive radio spectrum allocation
International Journal of Computer Applications in Technology
Cellular automata based nearest neighbour rule condensation
International Journal of Computer Applications in Technology
Multi-region particle swarm optimisation algorithm
International Journal of Computer Applications in Technology
International Journal of Innovative Computing and Applications
International Journal of Innovative Computing and Applications
Swine Influenza Models Based Optimization (SIMBO)
Applied Soft Computing
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This paper introduces a new approach called hybrid particle swarm optimisation like algorithm (hybrid PSO) with fine tuning operators to solve optimisation problems. This method combines the merits of the parameter-free PSO (pf-PSO) and the extrapolated particle swarm optimisation like algorithm (ePSO). In order to accelerate the PSO algorithms to obtain the global optimal solution, three fine tuning operators, namely mutation, cross-over and root mean square variants are introduced. The effectiveness of the fine tuning elements with various PSO algorithms is tested through three benchmark functions along with a few recently developed state-of-the-art methods and the results are compared with those obtained without the fine tuning elements. From several comparative analyses, it is clearly seen that the performance of all the three PSO algorithms (pf-PSO, ePSO, and hybrid PSO) is considerably improved with various fine tuning operators and sometimes more competitive than the recently developed PSO algorithms.