Vehicle Routing Problem with Multi-depot and Multi-task
نویسندگان
چکیده
This paper presents a new mathematical model of the vehicle routing problem in the context of city distribution, which considers multi-depot, multi-model vehicles and multi-task. The objective function includes three parts: transport cost, deadheading cost and time cost. To solve this mathematical model, a self-adaptive and polymorphic ant colony algorithm (APACA) has been introduced. Finally, a case study is presented to compare the results based on APACA with that under stochastic condition. Simulation results show that APACA is an effective and desirable algorithm for solving the mathematical model.
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