Research on improved strategy of ant colony optimization algorithm
Authors
Rui Wang, Jinguo Wang, Na Wang
Corresponding Author
Rui Wang
Available Online August 2015.
- DOI
- 10.2991/ic3me-15.2015.181How to use a DOI?
- Keywords
- ant colony algorithm. Pheromone update.
- Abstract
This paper summarizes three kinds of improved strategies for ant colony optimization algorithm: the improved strategy based on the structure of solution, the improved strategy based on the pheromone updating, and the improved method based on the solution processing. Taking the ant colony system as an example, this paper expounds the three improved strategies and the improvement effect of these strategies are verified and compared by experiments.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Rui Wang AU - Jinguo Wang AU - Na Wang PY - 2015/08 DA - 2015/08 TI - Research on improved strategy of ant colony optimization algorithm BT - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering PB - Atlantis Press SP - 942 EP - 945 SN - 2352-5401 UR - https://doi.org/10.2991/ic3me-15.2015.181 DO - 10.2991/ic3me-15.2015.181 ID - Wang2015/08 ER -