Robot Path Planning Method Based on Improved Genetic Algorithm

Robot Path Planning Method Based on Improved Genetic Algorithm

This paper presents an improved genetic algorithm for mobile robot path planning. The algorithm uses artificial potential method to establish the initial population, and increases value weights in the fitness function, which increases the controllability of robot path length and path smoothness. In...

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Bibliographic Details
Main Authors: Mingyang Jiang, Xiaojing Fan, Zhili Pei, Jingqing Jiang, Yulan Hu, Qinghu Wang
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2014-03-01
Series:Sensors & Transducers
Subjects:
Mobile robot
Improved genetic algorithm
Path planning
Path coding
Fitness function.
Online Access:http://www.sensorsportal.com/HTML/DIGEST/march_2014/Vol_166/P_1936.pdf

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http://www.sensorsportal.com/HTML/DIGEST/march_2014/Vol_166/P_1936.pdf

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