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Hyper-heuristics.

Ross, Peter (2005) Hyper-heuristics. In: Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques. Springer-Verlag, pp. 529-556. ISBN 978-0387234601

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Abstract/Description

This chapter introduces and overviews an emerging methodology in search
and optimisation. One of the key aims of these new approaches, which have
been termed hyper-heuristics, is to raise the level of generality at which
optimisation systems can operate. An objective is that hyper-heuristics will
lead to more general systems that are able to handle a wide range of problem
domains rather than current meta-heuristic technology which tends to be
customised to a particular problem or a narrow class of problems. Hyperheuristics
are broadly concerned with intelligently choosing the right heuristic
or algorithm in a given situation. Of course, a hyper-heuristic can be (often is)
a (meta-)heuristic and it can operate on (meta-)heuristics. In a certain sense, a
hyper-heuristic works at a higher level when compared with the typical
application of meta-heuristics to optimisation problems i.e. a hyper-heuristic
could be thought of as a (meta)-heuristic which operates on lower level (meta-
)heuristics. In this chapter we will introduce the idea and give a brief history of
this emerging area. In addition, we will review some of the latest work to be published in the field.

Item Type: Book Section
ISBN: 978-0387234601
Additional Information: Search Methodologies is a tutorial survey of the methodologies that are at the confluence of several fields: Computer Science, Mathematics and Operations Research. It is a carefully structured and integrated treatment of the major technologies in optimization and search methodology. The book is made up of 18 chapters. The chapter authors are drawn from across Computer Science and Operations Research and include some of the worlds leading authorities in their field. Topical chapters in the book are highlighted in the contents. The result is a major state-of-the-art tutorial text of the main optimization and search methodologies available to researchers, students and practitioners across discipline domains in applied science. It can be used as a textbook or a reference book to learn and apply these methodologies to a wide range of todays problems. It has been written by some of the worlds most well known authors in the field.
Uncontrolled Keywords: Hyper-heuristic; meta-heuristic; heuristic; optimisation; search;
University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 005 Computer programming, programs & data
500 Science > 510 Mathematics > 511 General principles of mathematics
Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics
Item ID: 1845
Depositing User: RAE Import
Date Deposited: 23 Jun 2008 11:13
Last Modified: 04 Nov 2011 12:51
URI: http://researchrepository.napier.ac.uk/id/eprint/1845

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