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Metaheuristic_Optimizer

Metaheuristic_Optimizer is a collection of metaheuristic optimization algorithms for Python (any version: Python 2, Python 3, Pypy 2 and Pypy 3).

It contains algorithms for nonlinear optimization and ordering optimization (such as TSP, traveling salesman problem).

Included algorithms:

  • Artificial Feeding Birds (AFB) (nonlinear and ordering)
  • Artificial Bee Colony (ABC) (nonlinear)
  • Firefly Algorithm (FA) (nonlinear)
  • Random-key-based Genetic Algorithm (GA) (ordering)
  • Ant Colony Optimization (ACO) (ordering)

Metaheuristic_Optimizer has been created by Jean-Baptiste Lamy at the LIMICS reseach lab. It is available under the GNU LGPL licence v3.