A novel bi-vector encoding genetic algorithm for the simultaneous multiple resources scheduling problem

@article{Wu2012ANB,
  title={A novel bi-vector encoding genetic algorithm for the simultaneous multiple resources scheduling problem},
  author={Jei-Zheng Wu and Xin-Chang Hao and Chen-Fu Chien and Mitsuo Gen},
  journal={J. Intelligent Manufacturing},
  year={2012},
  volume={23},
  pages={2255-2270}
}
To improve capital effectiveness in light of demand fluctuation, it is increasingly important for high-tech companies to develop effective solutions for managing multiple resources involved in the production. To model and solve the simultaneous multiple resources scheduling problem in general, this study aims to develop a genetic algorithm (bvGA) incorporating with a novel bi-vector encoding method representing the chromosomes of operation sequence and seizing rules for resource assignment in… CONTINUE READING
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