论文信息 - A Genetic Algorithm Approach to a Terminus Re-Scheduling Problem

A Genetic Algorithm Approach to a Terminus Re-Scheduling Problem

A genetic algorithm formulation is applied to the problem of re-routing trains throug the arrival, storage and departure platforms of a terminus whenever the arrival times are subject t disruption. The method is applied to real data for a typical terminus and shown to achieve acceptabl routings within feasible computing times.

J. F. Boyce | S. J. Massey

[1] Larry J. Eshelman,et al. Biases in the Crossover Landscape , 1989, ICGA.

[2] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[3] Rajarshi Das,et al. A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization , 1989, ICGA.

[4] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[5] Nicholas G. Hatsopoulos,et al. Visual navigation with a neural network , 1991, Neural Networks.