TITLE:
Particle Swarm Optimization (PSO) Performance in Solving the Train Location Problem at Transshipment Yard
AUTHORS:
Alhossein Mohamed, Qiyuan Peng
KEYWORDS:
Particle Swarm Optimization, Transshipment Yards, Train Location
JOURNAL NAME:
Open Access Library Journal,
Vol.1 No.7,
October
9,
2014
ABSTRACT: Particle swarm optimization (PSO) is an evolutionary computation technique; it has shown its effectiveness as an efficient, fast and simple method of optimization. In this paper, the mathematical model represents NP-hard in the strong sense; since any instance of the quadratic assignment problem (QAP), I will implement the particle swarm optimization (PSO) for the quadratic assignment problem (QAP). The results show that the PSO is an appropriate optimization tool for use in determining the train location in the transshipment yard by comparing it with previous studies to know the PSO’s performance.