Design of Ant Colony Optimization Simulation Platform Based On MATLAB GUI

DOI

10.2991/msmee-17.2017.76How to use a DOI?

Keywords

design, ant colony optimization, MATLAB/GUI

Abstract

In this paper, a novel ant colony optimization (ACO) simulation platform is developed by MATLAB/GUI toolbox to solve traveling salesman problem (TSP). The modular design concept is applied to divide platform into four main modules. The function modules are designed by using MATLAB/GUI toolbox. The development, implementation and test of the designed ACO simulation platform are particularly introduced. The test process and results show that the function of the designed ACO simulation platform can be implemented by importing exiting map and its coordinates or setting coordinates manually; besides, when setting parameters, they can be changed arbitrarily in the range of prompt message. The proposed platform can effectively solve the TSP and find the optimal path.

Copyright

© 2017, 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/).

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TY  - CONF
AU  - Mengxin Li
AU  - Hongshuang Hu
AU  - Yong Jiang
AU  - Guanhua Feng
PY  - 2017/05
DA  - 2017/05
TI  - Design of Ant Colony Optimization Simulation Platform Based On MATLAB GUI
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 375
EP  - 379
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.76
DO  - 10.2991/msmee-17.2017.76
ID  - Li2017/05
ER  -