Here is a list of useful implentations:
- Problem: Nonconvex local & global optimization in continuous parameter space
Approach: CMA-ES (Covariance Matrix Adaptation Evolutionary Strategies)
Link: www.bionik.tu-berlin.de/user/niko/cmaesintro.html - Problem: Multi-objective, constrained optimization
Approach: NSGA-II (Nondominated Sorting Genetic Algorithm, II)
Link: www.iitk.ac.in/kangal/codes.shtml - Problem: optimization in tree space, and other generalized problems
Approach: genetic programming within "open-Beagle software package"
(note that it also has CMA-ES and more)
Link beagle.gel.ulaval.ca/
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