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  2. Branch and bound - Wikipedia

    en.wikipedia.org/wiki/Branch_and_bound

    The following is the skeleton of a generic branch and bound algorithm for minimizing an arbitrary objective function f. [3] To obtain an actual algorithm from this, one requires a bounding function bound, that computes lower bounds of f on nodes of the search tree, as well as a problem-specific branching rule.

  3. COIN-OR - Wikipedia

    en.wikipedia.org/wiki/COIN-OR

    A branch, cut and price algorithm is similar to a branch and bound algorithm but additionally includes cutting-plane methods and pricing algorithms. The user of the library can customize the algorithm in any number of ways by supplying application-specific subroutines for reading in custom data files, generating application-specific cutting ...

  4. Branch and cut - Wikipedia

    en.wikipedia.org/wiki/Branch_and_cut

    Branch and cut [1] is a method of combinatorial optimization for solving integer linear programs (ILPs), that is, linear programming (LP) problems where some or all the unknowns are restricted to integer values. [2] Branch and cut involves running a branch and bound algorithm and using cutting planes to tighten

  5. Special ordered set - Wikipedia

    en.wikipedia.org/wiki/Special_ordered_set

    In discrete optimization, a special ordered set (SOS) is an ordered set of variables used as an additional way to specify integrality conditions in an optimization model. . Special order sets are basically a device or tool used in branch and bound methods for branching on sets of variables, rather than individual variables, as in ordinary mixed integer programm

  6. The Art of Computer Programming - Wikipedia

    en.wikipedia.org/wiki/The_Art_of_Computer...

    7.6.2. Efficient matroid algorithms; 7.7. Discrete dynamic programming (see also transfer-matrix method) 7.8. Branch-and-bound techniques; 7.9. Herculean tasks (aka NP-hard problems) 7.10. Near-optimization; Chapter 8 – Recursion (chapter 22 of "Selected Papers on Analysis of Algorithms")

  7. Travelling salesman problem - Wikipedia

    en.wikipedia.org/wiki/Travelling_salesman_problem

    Various branch-and-bound algorithms, which can be used to process TSPs containing thousands of cities. Solution of a TSP with 7 cities using a simple Branch and bound algorithm. Note: The number of permutations is much less than Brute force search. Progressive improvement algorithms, which use techniques reminiscent of linear programming. This ...

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    mail.aol.com

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  9. MINTO - Wikipedia

    en.wikipedia.org/wiki/MINTO

    MINTO (Mixed Integer Optimizer) is an integer programming solver which uses branch and bound algorithm. MINTO is a software system that solves mixed integer programming problem by a branch and bound algorithm with linear programming relaxations. It also provides automatic constraint classification, preprocessing, primal heuristics and ...