Efficient Use of Variation in Evolutionary Optimization
Author
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-03-24
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
Evolutionary algorithms face a fundamental trade-off between exploration and exploitation.
Rapid performance improvement tends to be accompanied by a rapid loss of diversity from the population of potential solutions, causing premature convergence on local rather than global optima.
However, the rate at which diversity is lost from a population is not simply a function of the strength of selection but also its efficiency, or rate of performance improvement relative to loss of variation.
Selection efficiency can be quantified as the linear correlation between objective performance and reproduction.
Commonly used selection algorithms contain several sources of inefficiency, some of which are easily avoided and others of which are not.
Selection algorithms based on continuously varying generation time instead of discretely varying number of offspring can approach the theoretical limit on the efficient use of population diversity.
American Psychological Association (APA)
Pepper, John W.. 2010. Efficient Use of Variation in Evolutionary Optimization. Applied Computational Intelligence and Soft Computing،Vol. 2010, no. 2010, pp.1-7.
https://search.emarefa.net/detail/BIM-491353
Modern Language Association (MLA)
Pepper, John W.. Efficient Use of Variation in Evolutionary Optimization. Applied Computational Intelligence and Soft Computing No. 2010 (2010), pp.1-7.
https://search.emarefa.net/detail/BIM-491353
American Medical Association (AMA)
Pepper, John W.. Efficient Use of Variation in Evolutionary Optimization. Applied Computational Intelligence and Soft Computing. 2010. Vol. 2010, no. 2010, pp.1-7.
https://search.emarefa.net/detail/BIM-491353
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491353