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An Island Grouping Genetic Algorithm for Fuzzy Partitioning Problems
Joint Authors
Salcedo-Sanz, S.
Del Ser, J.
Geem, Zong Woo
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-22
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper presents a novel fuzzy clustering technique based on grouping genetic algorithms (GGAs), which are a class of evolutionary algorithms especially modified to tackle grouping problems.
Our approach hinges on a GGA devised for fuzzy clustering by means of a novel encoding of individuals (containing elements and clusters sections), a new fitness function (a superior modification of the Davies Bouldin index), specially tailored crossover and mutation operators, and the use of a scheme based on a local search and a parallelization process, inspired from an island-based model of evolution.
The overall performance of our approach has been assessed over a number of synthetic and real fuzzy clustering problems with different objective functions and distance measures, from which it is concluded that the proposed approach shows excellent performance in all cases.
American Psychological Association (APA)
Salcedo-Sanz, S.& Del Ser, J.& Geem, Zong Woo. 2014. An Island Grouping Genetic Algorithm for Fuzzy Partitioning Problems. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-1051586
Modern Language Association (MLA)
Salcedo-Sanz, S.…[et al.]. An Island Grouping Genetic Algorithm for Fuzzy Partitioning Problems. The Scientific World Journal No. 2014 (2014), pp.1-15.
https://search.emarefa.net/detail/BIM-1051586
American Medical Association (AMA)
Salcedo-Sanz, S.& Del Ser, J.& Geem, Zong Woo. An Island Grouping Genetic Algorithm for Fuzzy Partitioning Problems. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-1051586
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051586