Chaotic ANT System Optimization for Path Planning of the Mobile Robots

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 30 Jun 2016Publisher:Academy and Industry Research Collaboration Center (AIRCC)Journal:Computer Science & Engineering: An International Journal, volume 6, pages 1-8 (issn: 2231-3583, eissn: 2231-329X,

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Authors: Xu Mingl; You Xiaoming;

doi: 10.5121/cseij.2016.6301

Chaotic ANT System Optimization for Path Planning of the Mobile Robots

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Abstract

This paper presents an improved ant system algorithm for path planning of the mobile robot under the complicated environment. To solve the drawback of the traditional ant colony system algorithm (ACS), which usually falls into the local optimum, we propose an improved ant colony system algorithm (IACS) based on chaos. Simulation experiments show that chaotic ant colony algorithm not only enhances the global search capability, but also has more effective than the traditional algorithm.

Related Organizations

Shanghai University of Engineering Sciences
China (People's Republic of)

Keywords

Ant colony system, Chaotic, path planning of the mobile robot

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