The METSlib QAP solver is a Tabu Search solver for the quadratic assignment problem, a combinatorial optimization problem that arises in many applicative cases. It can be used to find optimal locations for a set of facilities while minimizing the cost of moving commodities between them, to optimize the placement of components on a circuit board, and for many other applications. This software is based on the METSlib framework.
Tags | Scientific/Engineering Mathematics |
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Licenses | Common Public GPLv3 |
Implementation | C++ |
Release Notes: A bug in the iterated search was fixed. Version 0.5.1 of metslib is now used. A very fast TS procedure was added to produce suboptimal solutions that should be no more than 2% away from the global optimum (at least on test instances with up to 100 locations).
Release Notes: The Tabu Search strategy was improved. The strategy is as usual pretty naive, but gives good average results.
No changes have been submitted for this release.