Multi-vehicle scheduling problems and cloud GA based on the dynamic needs

The concept of time axes was proposed according to the different time points which were generated by dynamic information.Dynamic vehicle scheduling problems were changed into series problems of static vehicle scheduling.A vehicle scheduling model was established with the optimization objectives of rates and fuel.Setting mode of crossover rates and mutation rate in adaptive genetic algorithm was improved by the randomness and bias stability of the cloud model cloud droplet.Cloud adaptive genetic algorithm was designed to re-optimize the vehicle illustrated by an example.