By Topic

Efficient Path Planning Method Based on Genetic Algorithm Combining Path Network

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

4 Author(s)
Shidong Li ; Inst. for Pattern Recognition & Artificial Intell., Huazhong Univ. of Sci. & Technol., Wuhan, China ; Mingyue Ding ; Chao Cai ; Lei Jiang

Fast algorithm for path planning is helpful for artificial intelligence. Genetic Algorithm (GA) is a typical evolution method, used widely in path planning. A new GA based on path network is proposed in this paper. Efficient chromosome encoding strategy provided guarantees, and each chromosome represents a feasible path, avoiding the searching circulation. Variation happens at certain positions, making the algorithm assemble quickly. Experimental result shows that the GA combining with path network can plan path quickly. By means of path cells, it works efficiently to produce multi path simultaneously.

Published in:

Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on

Date of Conference:

13-15 Dec. 2010