Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6949
Title: A hyper-heuristic inspired by pearl hunting
Authors: Chan, CY 
Xue, F
Ip, WH 
Cheung, CF 
Keywords: Optimization
Shellfish
Issue Date: 2012
Publisher: Springer Berlin / Heidelberg
Source: In Y Hamadi & M Schoenauer (Eds.), Learning & intelligent optimization, p. 349-353. Berlin ; New York: Springer, 2012 How to cite?
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.
URI: http://hdl.handle.net/10397/6949
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

Files in This Item:
File Description SizeFormat 
Chan_a_hyper_heuristic.pdfPre-published version82.94 kBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

10
Last Week
0
Last month
0
Citations as of Aug 18, 2017

Page view(s)

106
Last Week
0
Last month
Checked on Aug 20, 2017

Download(s)

92
Checked on Aug 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.