Abstract
In this paper we present two hyper-heuristics: Five Phase Approach (5Ph) and Genetic Hive (GH), developed for the Cross-Domain Heuristic Search Challenge held in 2011. Performance of both methods is studied. Experience gained in construction of the hyper-heuristics is presented. Conclusions and recommendations for the future advancement of hyper-heuristic methodologies are discussed.
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Cichowicz, T., Drozdowski, M., Frankiewicz, M., Pawlak, G., Rytwiński, F., Wasilewski, J. (2012). Five Phase and Genetic Hive Hyper-Heuristics for the Cross-Domain Search. In: Hamadi, Y., Schoenauer, M. (eds) Learning and Intelligent Optimization. LION 2012. Lecture Notes in Computer Science, vol 7219. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34413-8_27
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DOI: https://doi.org/10.1007/978-3-642-34413-8_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34412-1
Online ISBN: 978-3-642-34413-8
eBook Packages: Computer ScienceComputer Science (R0)