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Parkes, Andrew J.; Özcan, Ender; Karapetyan, Daniel (2015)
Publisher: Springer Verlag
Languages: English
Types: Article
Many real world problems can be solved effectively by metaheuristics in combination with neighbourhood search. However, implementing neighbourhood search for a particular problem domain can be time consuming and so it is important to get the most value from it. Hyper-heuristics aim to get such value by using a specific API such as\ud `HyFlex' to cleanly separate the search control structure from the details of the domain. Here, we discuss various longer-term additions to the HyFlex interface that will allow much richer information exchange, and so enhance learning via data science techniques, but without losing domain independence of the search control.
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    • 1. Asta, S., Ozcan, E., Parkes, A.J.: Batched mode hyper-heuristics. In: Nicosia, G., Pardalos, P. (eds.) Learning and Intelligent Optimization, pp. 404{409. Lecture Notes in Computer Science, Springer Berlin Heidelberg (2013)
    • 2. Burke, E.K., Gendreau, M., Hyde, M., Kendall, G., Ochoa, G., Ozcan, E., Qu, R.: Hyper-heuristics: a survey of the state of the art. Journal of the Operational Research Society 64(12), 1695{1724 (2013)
    • 3. Maashi, M., Ozcan, E., Kendall, G.: A multi-objective hyper-heuristic based on choice function. Expert Systems with Applications 41(9), 4475{4493 (2014)
    • 4. Ochoa, G., Hyde, M., Curtois, T., Vazquez-Rodriguez, J.A., Walker, J., Gendreau, M., Kendall, G., McCollum, B., Parkes, A.J., Petrovic, S., Burke, E.K.: HyFlex: a benchmark framework for cross-domain heuristic search. In: Evolutionary Computation in Combinatorial Optimization, LNCS, vol. 7245, pp. 136{147 (2012)
    • 5. Ochoa, G., Walker, J.D., Hyde, M.R., Curtois, T.: Adaptive evolutionary algorithms and extensions to the HyFlex hyper-heuristic framework. In: Proceedings of the Parallel Problem Solving from Nature - PPSN. pp. 418{427 (2012)
    • 6. Parkes, A.J.: Combined blackbox and algebraic architecture (CBRA). In: Proceedings of the 8th International Conference on the Practice and Theory of Automated Timetabling (PATAT '10). pp. 535{538 (2010)
    • 7. Ryser-Welch, P., Miller, J.F.: A review of hyper-heuristic frameworks. In: Proceedings of the Evo20 Workshop, AISB 2014 (2014)
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