A hyper-heuristic inspired by pearl hunting

Ching Yuen Chan, Fan Xue, W. H. Ip, Chi Fai Cheung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

17 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationLearning and Intelligent Optimization - 6th International Conference, LION 6, Revised Selected Papers
Number of pages5
Publication statusPublished - 30 Oct 2012
Event6th International Conference on Learning and Intelligent Optimization, LION 6 - Paris, France
Duration: 16 Jan 201220 Jan 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7219 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference6th International Conference on Learning and Intelligent Optimization, LION 6

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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