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Output details

11 - Computer Science and Informatics

University of Nottingham

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Output 7 of 153 in the submission

Article title

A comprehensive analysis of hyper-heuristics

Type

D - Journal article

DOI

Title of journal

Intelligent Data Analysis

Article number

Volume number

Issue number

First page of article

ISSN of journal

1088-467X

Year of publication

2008

URL

http://dl.acm.org/citation.cfm?id=1368029

Number of additional authors

Additional information

<22> This is one of the first studies which analyse the performance of hyper-heuristic algorithms that aims to raise the level of generality of search methodologies by providing reusable and intelligent software components across different problem domains rather than for a single domain. In addition, a number of new hyper-heuristic frameworks are evaluated. This paper is in the top 1% of cited papers in Computer Science in the ISI Essential Science Indicators.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract