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An Evolutionary Hyperheuristic to Solve Strip-Packing Problems [chapter]

Pablo Garrido, María-Cristina Riff
Intelligent Data Engineering and Automated Learning - IDEAL 2007  
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.
doi:10.1007/978-3-540-77226-2_42 dblp:conf/ideal/GarridoR07 fatcat:ghiupzq5nrdrvo7vyjpm7lqrrm