Genetic algorithm with age structure and its application to self-organizing manufacturing system

@article{Kubota1994GeneticAW,
  title={Genetic algorithm with age structure and its application to self-organizing manufacturing system},
  author={Naoyuki Kubota and Toshio Fukuda and Fumihito Arai and Koji Shimojima},
  journal={ETFA '94. 1994 IEEE Symposium on Emerging Technologies and Factory Automation. (SEIKEN) Symposium) -Novel Disciplines for the Next Century- Proceedings},
  year={1994},
  pages={472-477}
}
The genetic algorithm has recently been demonstrated its effectiveness in optimization issues, but it has two major problems: a premature local convergence and a bias by the genetic drift. In order to solve these problems, we propose a new genetic algorithm with an age structure of a continuous generation model. The new genetic algorithm is applied to a self-organizing manufacturing system-a process which self-organizes to other processes in a flexible manufacturing system environment. The… CONTINUE READING
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J.Hughes. "Integrating AGV Schedules in a Scheduling System for a Flexible Manufacturing Environment

  • P . Pu
  • Proc. of IEEE Intemational Conference on Robotics…
  • 1994
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