The Traveling Salesman Problem With Delivery And Backhauls

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The traveling salesman problem with delivery and backhauls ...

    https://www.sciencedirect.com/science/article/pii/0167637794900167
    We call this prob- lem the traveling salesman problem with delivery and backhaul (TSPDB). The multiple vehicle case which we call the ve- hicle routing problem with delivery and backhaul (VRPDB) and we address in a later paper, has many real life applications.Author: Shoshana Anily, Gur Mosheiov

The Traveling Salesman Problem with Backhauls - ScienceDirect

    https://www.sciencedirect.com/science/article/pii/0305054895000364
    The purpose of this paper is to propose new heuristics for the Traveling Salesman Problem with Backhauls. In this problem, the aim is to determine a least cost Hamiltonian tour through a set of linehaul and backhaul customers, in such a way that all backhaul customers are visited contiguously after all linehaul customers.Author: Michel Gendreau, Alain Hertz, Gilbert Laporte

The traveling salesman problem with delivery and backhauls ...

    https://dl.acm.org/doi/10.1016/0167-6377%2894%2990016-7
    The problem that we consider here deals with a single vehicle of a given capacity that needs to serve N customers: some of the customers require a delivery of stock from the warehouse, whereas others need to deliver stock from their location to the warehouse.Author: AnilyShoshana, MosheiovGur

An Approximation Algorithm for the Traveling Salesman ...

    https://pubsonline.informs.org/doi/abs/10.1287/opre.45.4.639
    The Traveling Salesman Problem with Backhauls (TSPB) is defined on a graph G = (V, E). The vertex set is partitioned into V = ({ v 1 }, L , B ), where v 1 is a depot, L is a set of linehaul customers, and B is a set of backhaul customers.Author: Michel Gendreau, Gilbert Laporte, Alain Hertz

What Is The Traveling Salesman Problem And How Can You ...

    https://www.deliverybizpro.com/blog/delivery-routing-software/what-is-the-traveling-salesman-problem-and-how-can-you-solve-it/
    The Traveling Salesman Problem. Finding the quickest loop between multiple destinations is often referred to as the traveling salesman problem (TSP). This problem was first recorded in a handbook for traveling salesman in the early 1800s and poses this conundrum: A traveling salesman must visit a series of cities to do business.Location: 102 East 1st Street, Loveland, 80537, CO

Exact Methods for Solving Traveling Salesman Problems with ...

    http://www.optimization-online.org/DB_FILE/2017/12/6370.pdf
    Abstract The Traveling Salesman Problem with Pickup and Delivery (TSPPD) describes the problem of nding a minimum cost path in which pickups precede their associated deliveries. The TSPPD is particularly im-portant in the growing eld of Dynamic Pickup and Delivery Problems (DPDP). These include the many-to-many Dial-A-Ride Problems (DARP) of companies such as Uber and Lyft, and meal delivery …

An Algorithm for the Traveling Salesman Problem ...

    https://pubsonline.informs.org/doi/abs/10.1287/opre.11.6.972
    A “branch and bound” algorithm is presented for solving the traveling salesman problem. The set of all tours (feasible solutions) is broken up into increasingly small subsets by a procedure called branching. For each subset a lower bound on the length of the tours therein is calculated.Author: John D. C. Little, Katta G. Murty, Dura W. Sweeney, Caroline Karel

The Traveling Salesman Problem SpringerLink

    https://link.springer.com/chapter/10.1007/978-3-662-56039-6_21
    Mar 14, 2018 · In Chapter 15 we introduced the TRAVELING SALESMAN PROBLEM (TSP) and showed that it is NP-hard (Theorem 15.43). The TSP is perhaps the best-studied NP-hard combinatorial optimization problem, and... The Traveling Salesman Problem SpringerLinkAuthor: Bernhard Korte, Jens Vygen

The Traveling Salesman Problem: A Computational Study ...

    https://www.amazon.com/Traveling-Salesman-Problem-Computational-Mathematics/dp/0691129932
    Ever since the early days of discrete optimization, the traveling salesman problem has served as the model for computationally hard problems. The authors are main players in this area who forged a team in 1988 to push the frontiers on how good we are in solving hard and large traveling salesman problems.4.7/5(5)

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