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A new real coded genetic algorithm crossover: Rayleigh crossover


Lim, Siew Mooi and Sulaiman, Md. Nasir and Md Sultan, Abu Bakar and Mustapha, Norwati and Tejo, Bimo Ario (2014) A new real coded genetic algorithm crossover: Rayleigh crossover. Journal of Theoretical and Applied Information Technology, 62 (1). pp. 262-268. ISSN 1992-8645; ESSN: 1817-3195


This paper presents a comparison in the performance analysis between a newly developed crossover operator called Rayleigh Crossover (RX) and an existing crossover operator called Laplace Crossover (LX). Coherent to the previously defined Scaled Truncated Pareto Mutation (STPM) operator to form two (2) generational RCGAs called RX-STPM and LX-STPM, both crossovers are utilized. A set of ten (10) benchmark global optimization test problems is used to investigate the reliability, efficiency, accuracy and quality of solutions of both optimization algorithms. Based on computational results, the RX-STPM has yield a significant better performance as compared to LX-STPM.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Publisher: Asian Research Publication Network
Keywords: Genetic algorithms; Mutation operator; Crossover operator; Global optimization
Depositing User: Nabilah Mustapa
Date Deposited: 13 Jun 2015 06:11
Last Modified: 01 Oct 2015 03:25
URI: http://psasir.upm.edu.my/id/eprint/36205
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