Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6949
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Title: A hyper-heuristic inspired by pearl hunting
Authors: Chan, CY 
Xue, F
Ip, WH 
Cheung, CF 
Issue Date: 2012
Source: In Y Hamadi & M Schoenauer (Eds.), Learning & intelligent optimization, p. 349-353. Berlin ; New York: Springer, 2012
Abstract: Pearl hunting is a traditional way of diving to retrieve pearl from pearl oysters or to hunt some other sea creatures. In some areas, hunters need to dive and search seafloor repeatedly at several meters depth for pearl oysters. In a search perspective, pearl hunting consists of repeated diversification (to surface and change target area) and intensification (to dive and find pearl oysters). A Pearl Hunter (PHunter) hyper-heuristic is inspired by the pearl hunting, as shown in Fig. 1. Given a problem domain and some low-level heuristics (LLHs), PHunter can group, test, select and organize LLHs for the domain by imitating a rational diver.
Keywords: Optimization
Shellfish
Publisher: Springer Berlin / Heidelberg
ISBN: 978-3-642-34412-1 (print)
978-3-642-34413-8 (online)
DOI: 10.1007/978-3-642-34413-8_26
Rights: © Springer-Verlag Berlin Heidelberg 2012. The final publication is available on http://link.springer.com.
Appears in Collections:Book Chapter

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