Metaheuristic algorithms and probabilistic behaviour: a comprehensive analysis of Ant Colony Optimization and its variants

@article{Prakasam2015MetaheuristicAA,
  title={Metaheuristic algorithms and probabilistic behaviour: a comprehensive analysis of Ant Colony Optimization and its variants},
  author={Anandkumar Prakasam and Nickolas Savarimuthu},
  journal={Artificial Intelligence Review},
  year={2015},
  volume={45},
  pages={97-130}
}
The application of metaheuristic algorithms to combinatorial optimization problems is on the rise and is growing rapidly now than ever before. In this paper the historical context and the conducive environment that accelerated this particular trend of inspiring analogies or metaphors from various natural phenomena are analysed. We have implemented the Ant System Model and the other variants of ACO including the 3-Opt, Max–Min, Elitist and the Rank Based Systems as mentioned in their original… CONTINUE READING

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