Ant Colony Optimization Algorithm ( ACO ) ; A new heuristic approach for engineering optimization

@inproceedings{Jalali2005AntCO,
  title={Ant Colony Optimization Algorithm ( ACO ) ; A new heuristic approach for engineering optimization},
  author={Mohammad Reza Jalali and Abbas Afshar and Miguel A. Mari{\~n}o},
  year={2005}
}
Over the last decade, evolutionary and meta-heuristic algorithms have been extensively used as search and optimization tools in various problem domains, including science, commerce, and engineering. Their broad applicability, ease of use, and global perspective may be considered as the primary reason for their success. Ant colony foraging behavior may also be considered as a typical swarm-based approach to optimization. In this paper, ant colony optimization algorithm (ACO) is presented and… CONTINUE READING
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  • M. Dorigo
  • Ph.D. Thesis, Politecnico di Milano, Italy,
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