A New Adaptive Hungarian Mating Scheme in Genetic Algorithms

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 ma...

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Main Authors: Chanju Jung, Yong-Hyuk Kim, Yourim Yoon, Byung-Ro Moon
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2016/3512546
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author Chanju Jung
Yong-Hyuk Kim
Yourim Yoon
Byung-Ro Moon
author_facet Chanju Jung
Yong-Hyuk Kim
Yourim Yoon
Byung-Ro Moon
author_sort Chanju Jung
collection DOAJ
description 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.
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spelling doaj-art-ba51c6df00214873baaea94f870f9fdb2025-02-03T01:03:49ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2016-01-01201610.1155/2016/35125463512546A New Adaptive Hungarian Mating Scheme in Genetic AlgorithmsChanju Jung0Yong-Hyuk Kim1Yourim Yoon2Byung-Ro Moon3Department of Computer Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of KoreaDepartment of Computer Science and Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 01890, Republic of KoreaDepartment of Computer Engineering, Gachon University, 1342 Sengnamdaero, Sujeong-gu, Seongnam-si, Gyeonggi-do 13120, Republic of KoreaDepartment of Computer Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of KoreaIn 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.http://dx.doi.org/10.1155/2016/3512546
spellingShingle Chanju Jung
Yong-Hyuk Kim
Yourim Yoon
Byung-Ro Moon
A New Adaptive Hungarian Mating Scheme in Genetic Algorithms
Discrete Dynamics in Nature and Society
title A New Adaptive Hungarian Mating Scheme in Genetic Algorithms
title_full A New Adaptive Hungarian Mating Scheme in Genetic Algorithms
title_fullStr A New Adaptive Hungarian Mating Scheme in Genetic Algorithms
title_full_unstemmed A New Adaptive Hungarian Mating Scheme in Genetic Algorithms
title_short A New Adaptive Hungarian Mating Scheme in Genetic Algorithms
title_sort new adaptive hungarian mating scheme in genetic algorithms
url http://dx.doi.org/10.1155/2016/3512546
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