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Learning the Quality of Dispatch Heuristics Generated by Automated Programming (2018)
Book Chapter
Parkes, A. J., Beglou, N., & Ozcan, E. (2019). Learning the Quality of Dispatch Heuristics Generated by Automated Programming. In Learning and Intelligent Optimization (154-158). Springer Verlag. https://doi.org/10.1007/978-3-030-05348-2_13

One of the challenges within the area of optimisation, and AI in general, is to be able to support the automated creation of the heuristics that are often needed within effective algorithms. Such an example of automated programming may be performed b... Read More about Learning the Quality of Dispatch Heuristics Generated by Automated Programming.

Algorithm Configuration: Learning Policies for the Quick Termination of Poor Performers (2018)
Conference Proceeding
Karapetyan, D., Parkes, A. J., & Stützle, T. (2019). Algorithm Configuration: Learning Policies for the Quick Termination of Poor Performers. In Learning and Intelligent Optimization 12th International Conference, LION 12, Kalamata, Greece, June 10–15, 2018, Revised Selected Papers (220-224). https://doi.org/10.1007/978-3-030-05348-2_20

© 2019, Springer Nature Switzerland AG. One way to speed up the algorithm configuration task is to use short runs instead of long runs as much as possible, but without discarding the configurations that eventually do well on the long runs. We conside... Read More about Algorithm Configuration: Learning Policies for the Quick Termination of Poor Performers.