Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Artificial Bee Colony algorithm for Traveling Salesman Problem

Authors
Hongwei Jiang
Corresponding Author
Hongwei Jiang
Available Online December 2015.
DOI
https://doi.org/10.2991/icmmcce-15.2015.94How to use a DOI?
Keywords
Traveling Salesman Problem; Artificial Bee Colony; Combinatorial Optimization
Abstract
Travelling salesman problem (TSP) is a fundamental combinatorial optimization model studied in the operations research community for nearly half a century. It belongs to the class of NP-Complete problems. It has been proved that evolutionary algorithms are effective and efficient, with respect to the traditional methods for solving NP-Complete problems like TSP, with avoidance trapping in local minima areas. Artificial Bee Colony (ABC) is a new swarm-based optimization algorithm, which inspired by the foraging behavior of honey bees. This paper uses artificial bee colony algorithm to solve traveling salesman problems, gives the specific solutions of artificial bee colony algorithm for solving traveling salesman problem, and makes simulation experiment for the problem. The results show that the algorithm can efficiently and quickly find optimal or sub-optimal solutions.
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Proceedings
2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
Part of series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-133-9
DOI
https://doi.org/10.2991/icmmcce-15.2015.94How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hongwei Jiang
PY  - 2015/12
DA  - 2015/12
TI  - Artificial Bee Colony algorithm for Traveling Salesman Problem
BT  - 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
PB  - Atlantis Press
UR  - https://doi.org/10.2991/icmmcce-15.2015.94
DO  - https://doi.org/10.2991/icmmcce-15.2015.94
ID  - Jiang2015/12
ER  -