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S. N. Omkar, R. Khandelwal, T. V. S. Ananth, G. N. Naik, and S. Gopalakrishnan, “Quantum behaved Particle Swarm Optimization (QPSO) for multi-objective design optimization of composite structures,” Expert Systems with Applications, Vol. 36, No. 8, pp. 11312–11322, Oc-tober 2009.

has been cited by the following article:

• TITLE: Research on OD Matrix Calculation Based on Quantum Behaved Particle Swarm Optimization Algorithm

  AUTHORS: Lianyu WEI, Jianfu DU

  KEYWORDS: OD Matrix Prediction Model, QPSO, Simulation Analysis, Optimal Design

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.2 No.5, December 28, 2009

  ABSTRACT: Traffic information is so far less than the number of OD variables, that it is difficult to obtain the satisfactory solution. In this paper, a method based on Quantum behaved Particle Swarm Optimization (QPSO) algorithm is developed to obtain the global optimal solution. It designs the method based on QPSO algorithm to solve the OD matrix prediction model, lists the detailed steps and points out how to choose the PSO operator. Moreover, it uses MATLAB program-ming language to carry out the simulation test. The simulation results show that the method has higher efficiency and accuracy.