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Some Further Experiments with Crossover Operators for Genetic Algorithms
Volume 29, Issue 3 (2018), pp. 499–516
Pub. online: 1 January 2018      Type: Research Article      Open accessOpen Access
Received
1 October 2017
Accepted
1 June 2018
Published
1 January 2018

Abstract

Crossover operators play a very important role by creation of genetic algorithms (GAs) which are applied in various areas of computer science, including combinatorial optimization. In this paper, fifteen genetic crossover procedures are designed and implemented using a modern C# programming language. The computational experiments have been conducted with these operators by solving the famous combinatorial optimization problem – the quadratic assignment problem (QAP). The results of the conducted experiments on the characteristic benchmark instances from the QAP instances library QAPLIB illustrate the relative performance of the examined crossover operations.
All crossover procedures are publicly available with the intention that the GA researchers will choose a procedure which suits the individual demand at the highest degree.

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Biographies

Misevičius Alfonsas
alfonsas.misevicius@ktu.lt

A. Misevičius was born in 1962, in Marijampolė, Lithuania. He received dipl. eng. degree from Kaunas Polytechnic Institute, Lithuania, in 1986. A. Misevičius got his doctor’s degree in 1996, Kaunas University of Technology. He was conferred the best refereed technical paper award at 23rd SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 2003. A. Misevičius is currently a professor at Department of Multimedia Engineering, Faculty of Informatics, Kaunas Univ. Technol. Author and co-author of over 80 res. papers and academic texts on various topics of computer science. The main research interests include: combinatorial optimization, design and implementation of heuristic and metaheuristic algorithms.

Kuznecovaitė Dovilė
dovile.kuznecovaite@ktu.lt

D. Kuznecovaitė was born in 1989, in Kaunas, Lithuania. She got informatics bachelor degree at Kaunas University of Technology, in 2012, and she received informatics master’s degree, in 2014. D. Kuznecovaitė is currently a PhD student and a lecturer at Department of Multimedia Engineering, Faculty of Informatics, Kaunas Univ. Technol. Her research interests are in the areas of combinatorial optimization and heuristic algorithms.

Platužienė Jūratė
jurate.platuziene@ktu.lt

J. Platužienė was born in 1981, in Kaunas, Lithuania. She received bachelor electroengineering and management degree at Kaunas University of Technology, in 2004. In 2007 J. Platužienė got informatics engineering master‘s degree. She is currently a lecturer at Department of Multimedia Engineering, Faculty of Informatics, Kaunas Univ. Technol. The main scope of her pedagogical and research activity covers 3D modelling and animation.


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© 2018 Vilnius University
Open access article under the CC BY license.

Keywords
metaheuristic methods genetic algorithms genetic crossover operators combinatorial optimization quadratic assignment problem

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