An Approach to Optimize the Path of Humanoids using Adaptive Ant Colony Optimization

Author:

Sahu Chinmaya,Parhi Dayal R.,Kumar Priyadarshi Biplab

Publisher

Springer Science and Business Media LLC

Subject

Bioengineering,Biophysics,Biotechnology

Reference41 articles.

1. Han Q Y, Wang Q, Zhu X G, Xu J. Path planning of mobile robot based on improved ant colony algorithm. International Conference on Consumer Electronics, Communications and Networks (CECNet), XianNing, China, 2011, 531–533.

2. Gao M J, Xu J, Tian J W. Mobile robot global path planning based on improved augment ant colony algorithm. Second International Conference on Genetic and Evolutionary Computing, Hubei, China, 2008, 273–276.

3. Hsu C H, Juang C F. Multi-objective continuousant- colony-optimized FC for robot wall-following control. IEEE Computational Intelligence Magazine, 2013, 8, 28–40.

4. Singh M K, Parhi D R, Pothal J K. ANFIS approach for navigation of mobile robots. International Conference on Advances in Recent Technologies in Communication and Computing, Kottayam, Kerala, India, 2009, 727–731.

5. Dias J C, Machado P, Silva D C, Abreu P H. An inverted ant colony optimization approach to traffic. Engineering Applications of Artificial Intelligence, 2014, 36, 122–133.

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