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Learning with Genetic Algorithms: An Overview

Learning with Genetic Algorithms: An Overview Genetic algorithms represent a class of adaptive search techniques that have been intensively studied in recent years. Much of the interest in genetic algorithms is due to the fact that they provide a set of efficient domain-independent search heuristics which are a significant improvement over traditional “weak methods” without the need for incorporating highly domain-specific knowledge. There is now considerable evidence that genetic algorithms are useful for global function optimization and NP-hard problems. Recently, there has been a good deal of interest in using genetic algorithms for machine learning problems. This paper provides a brief overview of how one might use genetic algorithms as a key element in learning systems. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Machine Learning Springer Journals

Learning with Genetic Algorithms: An Overview

de Jong, Kenneth
Machine Learning , Volume 3 (3) – Jan 13, 2005
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References (31)

Publisher
Springer Journals
Copyright
Copyright
Subject
Computer Science; Artificial Intelligence; Control, Robotics, Mechatronics; Artificial Intelligence; Simulation and Modeling; Natural Language Processing (NLP)
ISSN
0885-6125
eISSN
1573-0565
DOI
10.1023/A:1022606120092
Publisher site
See Article on Publisher Site

Abstract

Genetic algorithms represent a class of adaptive search techniques that have been intensively studied in recent years. Much of the interest in genetic algorithms is due to the fact that they provide a set of efficient domain-independent search heuristics which are a significant improvement over traditional “weak methods” without the need for incorporating highly domain-specific knowledge. There is now considerable evidence that genetic algorithms are useful for global function optimization and NP-hard problems. Recently, there has been a good deal of interest in using genetic algorithms for machine learning problems. This paper provides a brief overview of how one might use genetic algorithms as a key element in learning systems.

Journal

Machine Learning – Springer Journals

Published: Jan 13, 2005

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