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Project Summary

METSlib is an OO (Object Oriented) metaheuristics framework in C++.

Model and algorithms are modular: all the implemented search algorithms can be applied to the same model and personalized algorithms can be applied to very different models.

METSlib implements the basics of some metaheuristics algorithm: Random Restart Local Search, Variable Neighborhood Search, Iterated Local Search, Simulated Annealing (with linear, exponential and custom cooling schedule), and last but not least Tabu Search.

Tags

ai algorithms artificialintelligence artificial_intelligence artificial-intelligence c++ combinatorialoptimization combinatorial_optimization cplusplus framework gcc geneticalgorithm genetic_algorithm genetic-algorithm geneticalgorithms genetic_algorithms genetic-algorithms heuristic heuristics heuristicsearch library memetic-algorithm metaheuristic metaheuristics operations operationsresearch optimisation optimisationcombinatoire optimization research search simulatedannealing tabusearch toolkit

In a Nutshell, METSlib Optimization Framework...

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GNU General Public License v3.0 or later
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These details are provided for information only. No information here is legal advice and should not be used as such.

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This Project has No vulnerabilities Reported Against it

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Languages

Languages?height=75&width=75
C++
79%
Autoconf
11%
shell script
5%
6 Other
5%

30 Day Summary

Jun 20 2016 — Jul 20 2016

12 Month Summary

Jul 20 2015 — Jul 20 2016

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