METSlib is an object-oriented metaheuristics
framework in C++ designed to make implementing or
adapting models easy. The model is modular: all
the implemented search algorithms can be applied
to the same model. METSlib implements the basics
of some metaheuristics algorithms, such as Random
Restart Local Search, Variable Neighborhood
Search, Iterated Local Search, Simulated Annealing
(with linear, exponential, and custom cooling
schedules), and Tabu Search. For each algorithm,
you must implement an objective function, a
neighborhood (move manager), and some moves.
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