Particle swarm optimisation: a triggered approach
by Mohamed H. Gadallah; Mohamed B. Ali; Ahmed M. Emam
International Journal of Industrial and Systems Engineering (IJISE), Vol. 16, No. 1, 2014

Abstract: This paper presents a modification to the particle swarm optimisation (PSO) to tackle two difficulties observed in many applications: premature convergence of the solution, and the degree of confidence of the decision maker. This approach, known as triggered particle swarm optimisation, treats the problem in a dynamic environment and making each particle reset its record of best positions. This approach treated the PSO by triggering the particle swarm optimiser in a dynamic environment, making each particle reset its record of its best position. This, in turn, avoids making position and velocity changes based on outdated information. Due to random-based nature, a statistical confidence interval estimation approach is developed around the returned optimum at different levels. The proposed algorithm, triggered particle swarm optimisation (T-PSO), performs significantly better than the original PSO and the new particle swarm optimisation (NPSO) discussed in references.

Online publication date: Sat, 07-Jun-2014

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