An improved layered parallel particle swarm optimisation algorithm for the interchange traffic control Online publication date: Tue, 10-Nov-2015
by Ruichun He; Changxi Ma
International Journal of Computing Science and Mathematics (IJCSM), Vol. 6, No. 5, 2015
Abstract: An improved layered parallel particle swarm optimisation (ILPPSO) algorithm has been developed based on layered parallel tactics and catastrophe tactics. In the algorithm, the new inertial parameter was used, and two layers independent sub-swarms were cooperative optimised. The catastrophe occurred when inferior sub-swarms sink into a local optimum value, which can make the population evolve forward continuously, prevent an algorithm precocious refrain, insure obtain the global optimum solution. The experiment study shows that the ILPPSO algorithm can improve the searching ability, get the optimum result. Aiming at the expressway interchange jam problem, the traditional ramp fuzzy control algorithm is not ideal. This paper applies the ILPPSO algorithm to optimise the interchange ramp control parameters. The simulation results show that the ICPPSO algorithm was more effective than the standard PSO algorithm and genetic algorithm, and was able to carry out real-time parameters optimisation of interchange ramp control.
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