Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
SIAM Journal on Optimization
Recent approaches to global optimization problems through Particle Swarm Optimization
Natural Computing: an international journal
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Selective regenerated particle swarm optimization for multimodal function
ACS'08 Proceedings of the 8th conference on Applied computer scince
A particle swarm with selective particle regeneration for multimodal functions
WSEAS Transactions on Information Science and Applications
Particle swarm optimization with selective particle regeneration for data clustering
Expert Systems with Applications: An International Journal
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
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In this paper, we introduce a hybrid technique based on particle swarm optimization (PSO) algorithm combined with the nonlinear simplex search method. This approach is applied to multimodal function optimizing tasks. To evaluate its reliability and efficiency, we empirically compare the performance of two variants of the Particle Swarm Optimizer with our hybrid algorithm. The computational results obtained in experiments on large variety of test functions indicate that the hybrid algorithm is competitive with other techniques, and can be successfully applied to more demanding problem domains.