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Adaptive Large Neighbourhood Search

This is a header-only C++ implementation of the (Parallel) Adaptive Large Neighbourhhod Search algorithm, devised by Ropke and Pisinger. The code is loosely based on the original implementation which Stefan Ropke has kindly shared with me.


All parameters of the metaheuristic framework are set editing file Params.json. The user needs to provide:

  • An object implementing an instance of the problem, with a public method getInstanceSize() which returns the size of the instance (e.g., the number of vertices in a TSP instance).
  • A class representing a solution of the problem, with a public method getCost() returning a cost to minimise (e.g., the length of a TSP tour).
  • A subclass of InitialSolutionCreator to produce an initial solution to the problem.

The destroy and repair method will derive, respectively, from base classes DestroyMethod and RepairMethod. The user can choose between using one the predefined acceptance criteria, or implementing his own inheriting from base class AcceptanceCriterion. A handy way to monitor the algorithm and perform non-standard actions during the solution process is to provide a visitor object which inherits from AlgorithmVisitor.


This software is licensed under the GNU Public License Version 3. See file LICENSE for more information.