Study on Scheduling of Metro Construction Muck Transport Vehicles during Restricted Hours Based on Improved Genetic Algorithm

For the time scheduling problem of each station's muck transportation vehicle and processing center during construction under-construction subway station, a optimization model with shortest waiting plant as objective function is established, genetic algorithm improved by repairing chromosomes individuals who violate constraints introducing elite strategy. The effectiveness verified examples. results show that proposed can efficiently perform unified for spoil at multiple sites, designed has good merit-seeking capability.