Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms

The fields of machine meta-learning and hyper-heuristic optimisation have developed mostly independently of each other, although evolutionary algorithms (particularly genetic programming) have recently played an important role in the development of both fields. Recent work in both fields shares a co...

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Bibliographic Details
Published in:	Genetic programming and evolvable machines Vol. 15; no. 1; pp. 3 - 35
Main Authors:	Pappa, Gisele L., Ochoa, Gabriela, Hyde, Matthew R., Freitas, Alex A., Woodward, John, Swan, Jerry
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.03.2014
Subjects:	Algorithms Artificial Intelligence Automation Biomedical Engineering and Bioengineering Classification Communities Compilers Computer Science Electrical Engineering Evolutionary algorithms Genetics Interpreters Optimization Programming Programming Languages Programming Techniques Software Engineering/Programming and Operating Systems Hyper-heuristics Automated algorithm design Meta-learning Genetic programming
ISSN:	1389-2576, 1573-7632
Online Access:	Get full text
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