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A New Adaptive Hungarian Mating Scheme in Genetic Algorithms
Joint Authors
Yoon, Yourim
Kim, Yong-Hyuk
Jung, Chanju
Moon, Byung-Ro
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-18
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
In genetic algorithms, selection or mating scheme is one of the important operations.
In this paper, we suggest an adaptive mating scheme using previously suggested Hungarian mating schemes.
Hungarian mating schemes consist of maximizing the sum of mating distances, minimizing the sum, and random matching.
We propose an algorithm to elect one of these Hungarian mating schemes.
Every mated pair of solutions has to vote for the next generation mating scheme.
The distance between parents and the distance between parent and offspring are considered when they vote.
Well-known combinatorial optimization problems, the traveling salesperson problem, and the graph bisection problem are used for the test bed of our method.
Our adaptive strategy showed better results than not only pure and previous hybrid schemes but also existing distance-based mating schemes.
American Psychological Association (APA)
Jung, Chanju& Kim, Yong-Hyuk& Yoon, Yourim& Moon, Byung-Ro. 2016. A New Adaptive Hungarian Mating Scheme in Genetic Algorithms. Discrete Dynamics in Nature and Society،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1103409
Modern Language Association (MLA)
Jung, Chanju…[et al.]. A New Adaptive Hungarian Mating Scheme in Genetic Algorithms. Discrete Dynamics in Nature and Society No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1103409
American Medical Association (AMA)
Jung, Chanju& Kim, Yong-Hyuk& Yoon, Yourim& Moon, Byung-Ro. A New Adaptive Hungarian Mating Scheme in Genetic Algorithms. Discrete Dynamics in Nature and Society. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1103409
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1103409