Research on improved strategy of ant colony optimization algorithm
Authors
Jinguo Wang, Na Wang, Haichun Ma
Corresponding Author
Jinguo Wang
Available Online October 2015.
- DOI
- 10.2991/icadme-15.2015.390How 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 - Jinguo Wang AU - Na Wang AU - Haichun Ma PY - 2015/10 DA - 2015/10 TI - Research on improved strategy of ant colony optimization algorithm BT - Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering PB - Atlantis Press SP - 2091 EP - 2094 SN - 2352-5401 UR - https://doi.org/10.2991/icadme-15.2015.390 DO - 10.2991/icadme-15.2015.390 ID - Wang2015/10 ER -