Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization
Joint Authors
Wang, Peng
Zhu, Zhouquan
Huang, Shuai
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-09
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper presents a novel biologically inspired metaheuristic algorithm called seven-spot ladybird optimization (SLO).
The SLO is inspired by recent discoveries on the foraging behavior of a seven-spot ladybird.
In this paper, the performance of the SLO is compared with that of the genetic algorithm, particle swarm optimization, and artificial bee colony algorithms by using five numerical benchmark functions with multimodality.
The results show that SLO has the ability to find the best solution with a comparatively small population size and is suitable for solving optimization problems with lower dimensions.
American Psychological Association (APA)
Wang, Peng& Zhu, Zhouquan& Huang, Shuai. 2013. Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1012096
Modern Language Association (MLA)
Wang, Peng…[et al.]. Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization. The Scientific World Journal No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1012096
American Medical Association (AMA)
Wang, Peng& Zhu, Zhouquan& Huang, Shuai. Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1012096
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1012096