•  2
    A vehicle-commodity matching problem is presented for service providers to reduce the cost of the logistics system. The vehicle classification model is built as a Gaussian mixture model, and the expectation-maximization algorithm is designed to solve the parameter estimation of GMM. A nonlinear mixed-integer programming model is constructed to minimize the total cost of VCMP. The matching process between vehicle and commodity is realized by GMM-EM, as a preprocessing of the solution. The design …Read more
  •  15
    A Hybrid Heuristic Algorithm for the Intelligent Transportation Scheduling Problem of the BRT System
    with Lin Fei, Chen Tao, and Zheng Ning
    Journal of Intelligent Systems 24 (4): 437-448. 2015.
    This work proposes a hybrid heuristic algorithm to solve the bus rapid transit intelligent scheduling problem, which is a combination of the genetic algorithm, simulated annealing algorithm, and fitness scaling method. The simulated annealing algorithm can increase the local search ability of the genetic algorithm, so as to accelerate its convergence speed. Fitness scaling can reduce the differences between individuals in the early stage of the algorithm, to prevent the genetic algorithm from fa…Read more