Improved ant colony algorithm and its simulation study

Zongjiang Wang

doi:10.1117/12.2010892

20 March 2013 Improved ant colony algorithm and its simulation study

Zongjiang Wang

Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 87682P (2013) https://doi.org/10.1117/12.2010892
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore

Abstract

Ant colony algorithm is development a new heuristic algorithm through simulation ant foraging. For its convergence rate slow, easy to fall into local optimal solution proposed for the adjustment of key parameters, pheromone update to improve the way and through the issue of TSP experiments, results showed that the improved algorithm has better overall search capabilities and demonstrated the feasibility and effectiveness of this method.

Citation Download Citation

Zongjiang Wang "Improved ant colony algorithm and its simulation study", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87682P (20 March 2013); https://doi.org/10.1117/12.2010892

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available