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The Algorithm for Algorithms: An Evolutionary Algorithm Based on Automatic Designing of Genetic Operators
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-21
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
At present there is a wide range of evolutionary algorithms available to researchers and practitioners.
Despite the great diversity of these algorithms, virtually all of the algorithms share one feature: they have been manually designed.
A fundamental question is “are there any algorithms that can design evolutionary algorithms automatically?” A more complete definition of the question is “can computer construct an algorithm which will generate algorithms according to the requirement of a problem?” In this paper, a novel evolutionary algorithm based on automatic designing of genetic operators is presented to address these questions.
The resulting algorithm not only explores solutions in the problem space like most traditional evolutionary algorithms do, but also automatically generates genetic operators in the operator space.
In order to verify the performance of the proposed algorithm, comprehensive experiments on 23 well-known benchmark optimization problems are conducted.
The results show that the proposed algorithm can outperform standard differential evolution algorithm in terms of convergence speed and solution accuracy which shows that the algorithm designed automatically by computers can compete with the algorithms designed by human beings.
American Psychological Association (APA)
Jiang, Dazhi& Fan, Zhun. 2015. The Algorithm for Algorithms: An Evolutionary Algorithm Based on Automatic Designing of Genetic Operators. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1073919
Modern Language Association (MLA)
Jiang, Dazhi& Fan, Zhun. The Algorithm for Algorithms: An Evolutionary Algorithm Based on Automatic Designing of Genetic Operators. Mathematical Problems in Engineering No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1073919
American Medical Association (AMA)
Jiang, Dazhi& Fan, Zhun. The Algorithm for Algorithms: An Evolutionary Algorithm Based on Automatic Designing of Genetic Operators. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1073919
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073919