Improved Optimization Algorithm of Ant Colony
- 10.2991/icsste-16.2016.98How to use a DOI?
- Optimization algorithm, convergence, improve operator
The mechanisms and basic principles about ant colony algorithm is researched, and in system point of view such characteristics as positive feedback, self-organizing systems, and distributed computing of the ant colony algorithm are analyzed. Analysis, verify and classify improved optimization algorithm of ant colony in detail by TSP-Ei151 in MATLAB 7.6; It shows this algorithm superior to AS in convergence, global and number of iterations.
- © 2016, 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 - Yunhong Zhao PY - 2016/05 DA - 2016/05 TI - Improved Optimization Algorithm of Ant Colony BT - Proceedings of the 2016 2nd International Conference on Social Science and Technology Education (ICSSTE 2016) PB - Atlantis Press SP - 528 EP - 532 SN - 2352-5398 UR - https://doi.org/10.2991/icsste-16.2016.98 DO - 10.2991/icsste-16.2016.98 ID - Zhao2016/05 ER -