Firefly Mating Algorithm for Continuous Optimization Problems
Joint Authors
Ritthipakdee, Amarita
Thammano, Arit
Premasathian, Nol
Jitkongchuen, Duangjai
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper proposes a swarm intelligence algorithm, called firefly mating algorithm (FMA), for solving continuous optimization problems.
FMA uses genetic algorithm as the core of the algorithm.
The main feature of the algorithm is a novel mating pair selection method which is inspired by the following 2 mating behaviors of fireflies in nature: (i) the mutual attraction between males and females causes them to mate and (ii) fireflies of both sexes are of the multiple-mating type, mating with multiple opposite sex partners.
A female continues mating until her spermatheca becomes full, and, in the same vein, a male can provide sperms for several females until his sperm reservoir is depleted.
This new feature enhances the global convergence capability of the algorithm.
The performance of FMA was tested with 20 benchmark functions (sixteen 30-dimensional functions and four 2-dimensional ones) against FA, ALC-PSO, COA, MCPSO, LWGSODE, MPSODDS, DFOA, SHPSOS, LSA, MPDPGA, DE, and GABC algorithms.
The experimental results showed that the success rates of our proposed algorithm with these functions were higher than those of other algorithms and the proposed algorithm also required fewer numbers of iterations to reach the global optima.
American Psychological Association (APA)
Ritthipakdee, Amarita& Thammano, Arit& Premasathian, Nol& Jitkongchuen, Duangjai. 2017. Firefly Mating Algorithm for Continuous Optimization Problems. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1141127
Modern Language Association (MLA)
Ritthipakdee, Amarita…[et al.]. Firefly Mating Algorithm for Continuous Optimization Problems. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1141127
American Medical Association (AMA)
Ritthipakdee, Amarita& Thammano, Arit& Premasathian, Nol& Jitkongchuen, Duangjai. Firefly Mating Algorithm for Continuous Optimization Problems. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1141127
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141127