Path Optimization for Mobile Robot Based on the Sine Type Adaptive Genetic Algorithm

Abstract:

The improved adaptive genetic algorithm has been presented to overcome the premature convergence problem of traditional genetic algorithm and obtain the genetic operator having adaptability at any time. Then, the location in the working space has been setted by the serial number method, and the mathematical model has been established for the picking operation of mobile robot. Finally, the sine type adaptive genetic algorithm has been adopted to improve the initial path and get the optimal solution. In addition, a simulation has been conducted by the Matlab Genetic Algorithms Box to show that this algorithm is more quickly and efficiently for the path optimization of mobile robot.

• Periodical: Applied Mechanics and Materials (Volume 159)
• Pages: 181-185
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.159.181
• Online since: March 2012
• Authors: Jia Li Zhao, Chi Bing Hu, Wu Yang Feng, Ning Du Yang
• Keywords: Adaptive Genetic Algorithm (GA), Mobile Robot, Path Optimization, Sine Type

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