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METSlib Optimization Framework

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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 ... [More] 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. [Less]

5.0
 
  0 reviews  |  1 user  |  8,616 lines of code  |  1 current contributor  |  Analyzed about 2 years ago
  toolkit heuristic operations algorithms artificial-intelligence heuristics ai operationsresearch optimization combinatorial_optimization gcc cplusplus 22 more...
 
 

MOEA Framework

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The MOEA Framework is an open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose optimization algorithms and metaheuristics. A number of algorithms are provided out-of-the-box, including NSGA-II, ε-MOEA, GDE3 and ... [More] MOEA/D. In addition, third-party tools like JMetal and PISA directly integrate with the MOEA Framework. The MOEA Framework targets an academic audience, providing the resources necessary to rapidly design, develop, execute and statistically test optimization algorithms. This includes over 40 test problems from the literature, and a suite of statistical tools for comparing and analyzing algorithm performance. [Less]

0
 
  0 reviews  |  1 user  |  0 current contributors
  geneticalgorithms optimisation framework ai combinatorial_optimization evolutionalgorithm evolutionary-algorithm evolutionary-algorithms evolutionary evolution-strategy combinatorialoptimization artificial-intelligence 36 more...
 
 
 
 

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