Individual predicted integral-controlled particle swarm optimisation. (25th February 2010)

• Record Type: Journal Article
• Authors: Cai, Xingjuan; Tan, Ying
• Is Part Of: International journal of innovative computing and applications. Volume 2:Number 2(2009)
• Page Start: 115
• Page End: 122
• Publication Date: 2010-02-25
• Subjects: integral-controlled PSO -- particle swarm optimisation -- ICPSO -- quadratic interpolation -- local optima -- individual predicted PSO -- integral control -- simulation; Evolutionary computation -- Periodicals; Neural networks (Computer science) -- Periodicals; Genetic programming (Computer science) -- Periodicals; Biologically-inspired computing -- Periodicals; Swarm intelligence -- Periodicals; Quantum computers -- Periodicals; 006.3
• Languages: English
• ISSNs: 1751-648X

Abstract

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.