Hybrid Ant Colony-Genetic Algorithm (GAAPI) for Global Continuous Optimization

@article{Ciornei2012HybridAC,
  title={Hybrid Ant Colony-Genetic Algorithm (GAAPI) for Global Continuous Optimization},
  author={Irina Ciornei and Elias Kyriakides},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
  year={2012},
  volume={42},
  pages={234-245}
}
Many real-life optimization problems often face an increased rank of nonsmoothness (many local minima) which could prevent a search algorithm from moving toward the global solution. Evolution-based algorithms try to deal with this issue. The algorithm proposed in this paper is called GAAPI and is a hybridization between two optimization techniques: a special class of ant colony optimization for continuous domains entitled API and a genetic algorithm (GA). The algorithm adopts the downhill… CONTINUE READING
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