By Topic

Path Planning Based on Biphasic Ant Colony Algorithm and Fuzzy Control in Dynamic Environment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Cai Wenbin ; Sch. of Comput. Sci. & Technol., Nanjing Normal Univ., Nanjing, China ; Zhu Qingbao ; Hu Jun

This paper presents a simple yet efficient dynamic path planning algorithm based on biphasic ant colony algorithm with fuzzy control in the environment with some dynamic obstacles. A global optimal path is planned by using the Biphasic ACO (BACO) searching algorithm without consideration of any dynamic obstacles to solve the problem of local optimization. On that basis, the fuzzy control with human experience is introduced to implement dynamic obstacles collision avoidance in dynamic environment. The computer simulation experiments show that the algorithm is feasible and effective.

Published in:

Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2010 2nd International Conference on  (Volume:1 )

Date of Conference:

26-28 Aug. 2010