Abstract
In this paper we introduce an evolutionary hyperheuristic approach to solve difficult strip packing problems. We have designed a genetic based hyperheuristic using the most recently proposed low-level heuristics in the literature. Two versions for tuning parameters have also been evaluated. The results obtained are very encouraging showing that our approach outperforms the single heuristics and others well-known techniques. © Springer-Verlag Berlin Heidelberg 2007.
Author supplied keywords
Cite
CITATION STYLE
Garrido, P., & Riff, M. C. (2007). An evolutionary hyperheuristic to solve strip-packing problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4881 LNCS, pp. 406–415). Springer Verlag. https://doi.org/10.1007/978-3-540-77226-2_42
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
