Uncertain Dispatching Decision and Genetic Algorithms for Railyards Operations

In this paper, a fuzzy dispatching model has been developed and genetic algorithms have been used for considering the corrdination among uncertain decisions in railyards dispatching plan. The objective considered here is to maximize the average grade of satisfaction including the yards output and ontime service of the plan. Based on the analysis of the fuzzy scheduled model for the problem, the chromosome and fitness function of genetic algorithms are proposed. The genetic operators are designed and the genetic algorithms are given. Experimental results show that the genetic algorithms and fuzziness approach could be a promising way for railyards dispatching problem.