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Using Genetic Algorithm for a Mobile Robot Path Planning

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3 Author(s)
Amin Ghorbani ; Islamic Azad Univ. of Qazvin, Qazvin, Iran ; Saeed Shiry ; Ali Nodehi

Mobile robot global path planning in a static environment is an important problem. This paper proposes a method of global path planning based on genetic algorithm to reach an optimum path for mobile robot with obstacle avoidance. In this method for decreasing the complexity, the two-dimensional coding for the path via-points was converted to one-dimensional coding and the fitness of both of the collision avoidance path and the shortest distance are integrated into a fitness function. The simulation results shows that the proposed method is accurate and effective.

Published in:

Future Computer and Communication, 2009. ICFCC 2009. International Conference on

Date of Conference:

3-5 April 2009