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Improved Adaptive Genetic Algorithm Based on Non-ferrous Metals Warehouse Routing Problem Stacker

  • Genglie Zhou
  • Bo Chen
  • Chibing Hu
  • Wuyang Feng
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 146)

Abstract

Automated Warehouse System for non-ferrous metals is the establishment of its physical model. Through the improved adaptive genetic algorithm, overcome the traditional problem of premature convergence of genetic algorithms. through picking stacker established mathematical model, using the improved genetic algorithm to improve on the initial path, the optimal solution, and using Matlab Genetic Algorithms Box conduct a simulation experiment results show that this method converges faster and can get global optimal solution, the stacking machine path planning more quickly and efficiently.

Keywords

Non-ferrous metals Stacker Genetic Algorithm Path optimization 

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References

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Genglie Zhou
    • 1
    • 2
  • Bo Chen
    • 1
  • Chibing Hu
    • 1
  • Wuyang Feng
    • 1
  1. 1.Institute of Electrical and Mechanical EngineeringLanzhou University of TechnologyLanzhouChina
  2. 2.Department of Software EngineeringLanzou Polytechnic CollegeLanzhouChina

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