An Implementation of Ant Colony Optimization Algorithm Using Java

Abstract:

Ant colony optimization algorithm is a very important one among swarm intelligence algorithms. Because Java is an advanced object-oriented and platform-independent computer programming language, in order to use this algorithm in a platform-independent and flexible way, this paper introduces a Java-based implementation package of it. This package includes some sub-packages. There are several classes which are all implemented in Java using object-oriented technology in each sub-package. Users can utilize these classes on computers installed the corresponding Java runtime environment to solve some problems. After the test on two travelling salesman problems, these classes performed properly and efficiently, and the good effect was received.

• Periodical: Advanced Materials Research (Volumes 765-767)
• Pages: 985-988
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.765-767.985
• Online since: September 2013
• Authors: Long Xi Xu, Shan Ping Qiao
• Keywords: Ant Colony Optimization (ACO), Java, Object-Oriented (OO), Swarm Intelligence Algorithm

References

[1] X.M. Zhang, B.Y. Sun, T. Mei, W.B. Li, R.J. Wang and H.L. Wang: submitted to Advanced Science Letters (2012).

[2] T. Ganesan, P. Vasant and I. Elamvazuthy: submitted to Archives of Control Sciences (2012).

[3] X. Chen, Y.Y. Kong, X. Fang and Q.D. Wu: submitted to Neural Computing and Applications (2013).

[4] W.F. Gao and S.Y. Liu: submitted to Computers & Operations Research (2012).

[5] K. Chen and S.S. Li: submitted to International Journal of Computer Applications in Technology (2012).

[6] J.H. Yang, X.H. Shi, M. Marchese and Y.C. Liang: submitted to Progress in Natural Science (2008).

[7] P. Kalczynski: submitted to Journal of Object Technology (2005).

[8] M.M. Janaki, K. R. Chandran, A. Karthik and A.S. Vijay: submitted to Expert Systems with Applications (2012).