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  2. Concorde TSP Solver - Wikipedia

    en.wikipedia.org/wiki/Concorde_TSP_Solver

    According to Mulder & Wunsch (2003), Concorde “is widely regarded as the fastest TSP solver, for large instances, currently in existence.” In 2001, Concorde won a 5000 guilder prize from CMG for solving a vehicle routing problem the company had posed in 1996. [7] Concorde requires a linear programming solver and only supports QSopt [8] and ...

  3. Travelling salesman problem - Wikipedia

    en.wikipedia.org/wiki/Travelling_salesman_problem

    Solution of a travelling salesman problem: the black line shows the shortest possible loop that connects every red dot. In the theory of computational complexity, the travelling salesman problem (TSP) asks the following question: "Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the ...

  4. Held–Karp algorithm - Wikipedia

    en.wikipedia.org/wiki/Held–Karp_algorithm

    The Held–Karp algorithm, also called the Bellman–Held–Karp algorithm, is a dynamic programming algorithm proposed in 1962 independently by Bellman [1] and by Held and Karp [2] to solve the traveling salesman problem (TSP), in which the input is a distance matrix between a set of cities, and the goal is to find a minimum-length tour that visits each city exactly once before returning to ...

  5. Set TSP problem - Wikipedia

    en.wikipedia.org/wiki/Set_TSP_problem

    In combinatorial optimization, the set TSP, also known as the generalized TSP, group TSP, One-of-a-Set TSP, Multiple Choice TSP or Covering Salesman Problem, is a generalization of the traveling salesman problem (TSP), whereby it is required to find a shortest tour in a graph which visits all specified subsets of the vertices of a graph.

  6. Christofides algorithm - Wikipedia

    en.wikipedia.org/wiki/Christofides_algorithm

    Methods based on the Christofides–Serdyukov algorithm can also be used to approximate the stacker crane problem, a generalization of the TSP in which the input consists of ordered pairs of points from a metric space that must be traversed consecutively and in order. For this problem, it achieves an approximation ratio of 9/5. [10]

  7. Bottleneck traveling salesman problem - Wikipedia

    en.wikipedia.org/wiki/Bottleneck_traveling...

    In an asymmetric bottleneck TSP, there are cases where the weight from node A to B is different from the weight from B to A (e. g. travel time between two cities with a traffic jam in one direction). The Euclidean bottleneck TSP, or planar bottleneck TSP, is the bottleneck TSP with the distance being the ordinary Euclidean distance. The problem ...

  8. Cash App owner failed to protect customers from fraud, feds say

    www.aol.com/cash-app-owner-failed-protect...

    Cash App-owner Block must offer up to $120 million in refunds to consumers who federal regulators say were exposed to potential fraud.

  9. Multi-fragment algorithm - Wikipedia

    en.wikipedia.org/wiki/Multi-fragment_algorithm

    The multi-fragment (MF) algorithm is a heuristic or approximation algorithm for the travelling salesman problem (TSP) (and related problems). This algorithm is also sometimes called the "greedy algorithm" for the TSP.