An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming

@article{Mei2017AnEF,
  title={An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming},
  author={Yi Mei and Su Nguyen and Bing Xue and Mengjie Zhang},
  journal={IEEE Transactions on Emerging Topics in Computational Intelligence},
  year={2017},
  volume={1},
  pages={339-353}
}
Automated design of job shop scheduling rules using genetic programming as a hyper-heuristic is an emerging topic that has become more and more popular in recent years. For evolving dispatching rules, feature selection is an important issue for deciding the terminal set of genetic programming. There can be a large number of features, whose importance/relevance varies from one to another. It has been shown that using a promising feature subset can lead to a significant improvement over using all… CONTINUE READING

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