Dispersed particle swarm optimization
Information Processing Letters
Ant colony and particle swarm optimization for financial classification problems
Expert Systems with Applications: An International Journal
A multi-objective particle swarm optimization for project selection problem
Expert Systems with Applications: An International Journal
Integral Particle Swarm Optimization with Dispersed Accelerator Information
Fundamenta Informaticae - Swarm Intelligence
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Tackling magnetoencephalography with particle swarm optimization
International Journal of Bio-Inspired Computation
International Journal of Bio-Inspired Computation
International Journal of Bio-Inspired Computation
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
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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Integral-controlled particle swarm optimisation (ICPSO) is a novel variant of particle swarm optimisation by incorporating two integral controllers into the methodology. Although the population diversity of ICPSO is large enough, the performance is not always well when dealing with multi-modal problems, the reason is partly due to the wrong guiding direction dominated by the best location found by entire swarm. Therefore, in this paper, a new strategy, quadratic interpolation method, is introduced to estimate the exact local optima in the best location neighbours. Simulation results show this new variant provide an efficient local search capability than other three variants of particle swarm optimisation when solving multi-modal numerical problems.