Path Planning of Stacker for Automated Building Materials Warehouse Based on the Improved Adaptive Genetic Algorithm

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In this paper, the improved adaptive genetic algorithm has been presented, which not only can overcome the early maturity and slow convergence speed of traditional genetic algorithm, and greatly improve the efficiency of genetic algorithm. This method can improve the quality of stacker path planning and work efficiency for modern automated building materials warehouse. Using the genetic algorithm toolbox of Matlab, the simulation results can further verified the feasibility and effectiveness of this method.

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1475-1478

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June 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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