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Hyper-heuristics: a survey of the state of the art

The Journal of the Operational Research Society, 2013-12, Vol.64 (12), p.1695-1724 [Peer Reviewed Journal]

Copyright © 2013 Operational Research Society Ltd ;Operational Research Society 2013 ;ISSN: 0160-5682 ;EISSN: 1476-9360 ;DOI: 10.1057/jors.2013.71 ;CODEN: OPRQAK

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Title:
Hyper-heuristics: a survey of the state of the art
Author: Burke, Edmund K ; Gendreau, Michel ; Hyde, Matthew ; Kendall, Graham ; Ochoa, Gabriela ; Özcan, Ender ; Qu, Rong
Subjects: Algorithms ; Artificial intelligence ; Automation ; Business and Management ; Evolution ; Evolutionary algorithms ; Evolutionary genetics ; Genetic algorithms ; Heuristic ; Heuristics ; International conferences ; Job shops ; Machine learning ; Management ; Methods ; Operations research ; Operations Research/Decision Theory ; Part Special Issue: Systems to Build Systems ; Scheduling ; Special Issue Paper ; Special Issue Papers ; Studies
Is Part Of: The Journal of the Operational Research Society, 2013-12, Vol.64 (12), p.1695-1724
Description: Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the goal of automating the design of heuristic methods to solve hard computational search problems. An underlying strategic research challenge is to develop more generally applicable search methodologies. The term hyper-heuristic is relatively new; it was first used in 2000 to describe heuristics to choose heuristics in the context of combinatorial optimisation. However, the idea of automating the design of heuristics is not new; it can be traced back to the 1960s. The definition of hyper-heuristics has been recently extended to refer to a search method or learning mechanism for selecting or generating heuristics to solve computational search problems. Two main hyper-heuristic categories can be considered: heuristic selection and heuristic generation. The distinguishing feature of hyper-heuristics is that they operate on a search space of heuristics (or heuristic components) rather than directly on the search space of solutions to the underlying problem that is being addressed. This paper presents a critical discussion of the scientific literature on hyper-heuristics including their origin and intellectual roots, a detailed account of the main types of approaches, and an overview of some related areas. Current research trends and directions for future research are also discussed.
Publisher: London: Palgrave Macmillan
Language: English
Identifier: ISSN: 0160-5682
EISSN: 1476-9360
DOI: 10.1057/jors.2013.71
CODEN: OPRQAK
Source: AUTh Library subscriptions: ProQuest Central

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Hyper-heuristics: a survey of the state of the art

Copyright © 2013 Operational Research Society Ltd ;Operational Research Society 2013 ;ISSN: 0160-5682 ;EISSN: 1476-9360 ;DOI: 10.1057/jors.2013.71 ;CODEN: OPRQAK

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