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A Novel Hybrid Self-Adaptive Bat Algorithm
Joint Authors
Fister, Iztok
Brest, Janez
Fister, Iztok
Fong, Simon
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-09
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Nature-inspired algorithms attract many researchers worldwide for solving the hardest optimization problems.
One of the newest members of this extensive family is the bat algorithm.
To date, many variants of this algorithmhave emerged for solving continuous as well as combinatorial problems.
One of the more promising variants, a self-adaptive bat algorithm, has recently been proposed that enables a self-adaptation of its control parameters.
In this paper, we have hybridized this algorithm using different DE strategies and applied these as a local search heuristics for improving the current best solution directing the swarm of a solution towards the better regions within a search space.
The results of exhaustive experiments were promising and have encouraged us to invest more efforts into developing in this direction.
American Psychological Association (APA)
Fister, Iztok& Fong, Simon& Brest, Janez& Fister, Iztok. 2014. A Novel Hybrid Self-Adaptive Bat Algorithm. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1050714
Modern Language Association (MLA)
Fister, Iztok…[et al.]. A Novel Hybrid Self-Adaptive Bat Algorithm. The Scientific World Journal No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1050714
American Medical Association (AMA)
Fister, Iztok& Fong, Simon& Brest, Janez& Fister, Iztok. A Novel Hybrid Self-Adaptive Bat Algorithm. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1050714
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050714