A Parallel Meta-heuristic for Solving a Multiple Asymmetric Traveling Salesman Problem with Simulateneous Pickup and Delivery Modeling Demand Responsive Transport Problems
Transportation is an essential area in the nowadays society. Due to the rapid technological progress, it has gained a great importance, both for business sector and citizenry. Among the different types of transport, one that has gained notoriety recently is the transportation on-demand, because it can affect very positively the people quality of life. There are different kinds of on-demand transportation systems, being the Demand Responsive Transit (DRT) one of the most important one. In this work, a real-life DRT problem is proposed, and modeled as a Rich Traveling Salesman Problem. Specifically, the problem presented is a Multiple Asymmetric Traveling Salesman Problem with Simultaneous Pickup and Delivery. Furthermore, a benchmark for this new problem is also proposed, and its first resolution is offered. For the resolution of this benchmark the recently developed Golden Ball meta-heuristic has been implemented.
KeywordsOn demand transportation Demand responsive transport Traveling salesman problem Golden ball Meta-heuristic Combinatorial optimization
The authors would like to thank the Entornos inteligentes ubicuos aplicados a la trazabilidad en el sector de transportes y vehiculares project (UBITRACE PC2013-71A) for its support in the development of this work.
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