This is the implementation of the Artificial Bee Colony algorithm that optimizes high dimensional continuous model parameters. The method was introduced in
Aderhold, Andrej, et al. "Artificial bee colony optimization: A new selection scheme and its performance." Nature Inspired Cooperative Strategies for Optimization (NICSO 2010). Springer Berlin Heidelberg, 2010. 283-294.
and is also featured in
Diwold, Konrad, et al. "Performance evaluation of artificial bee colony optimization and new selection schemes." Memetic Computing 3.3 (2011): 149-162.
The directory 'ABC' contains the Java implementation besides various other Artificial Bee Colony selection and location update schemes.
Additional implementations are located in the following folders. I keep them together with ABC since they served as benchmark and include slight modification.
[Please ask me to remove any in case of copyright infringements.]
ACOcont_CPP2008 : Ant Colony Optimization (ACO) for continuous parameters, C++ implementation, Copyright (C) 2008 by Christian Blum
ACOcont_R : ACO implementation in R, Copyright (C) 2006 by Krzysztof Socha
DE : Differential Evolution, a population based stochastic search algorithm for continuous parameters.
HPSO : Hierarchical Particle Swarm Optimization (HPSO), efficient PSO variant
Other_src : additional implementations