In cities where the urban rail transit (URT) systems do not provide 24-h services, passengers may be able to reach their destinations if last train services have closed by time they arrive at transfer stations. This paper aims seek a well-coordinated timetable that can transport as many possible (referred reachable passengers) and also those who cannot unreachable stations close destinations. A...

Abstract In supervised learning, feature selection methods identify the most relevant predictors to include in a model. For linear models, inclusion or exclusion of each variable may be represented as vector bits playing role genetic material that defines Genetic algorithms reproduce strategies natural on population models best. We derive distribution importance scores for parallel under null h...