Analysis of Roulette Wheel Selection and Steady state Selection Using Genetic Algorithm Techniques
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International Journal of Computer & Organization Trends (IJCOT) |  |
| © 2015 by IJCOT Journal | ||
| Volume - 5 Issue - 3 |
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| Year of Publication : 2015 | ||
| Authors : M.Mayilvaganan, Geethamani G.S | ||
| DOI : 10.14445/22492593/IJCOT-V20P304 |
Citation
M.Mayilvaganan, Geethamani G.S"Analysis of Roulette Wheel Selection and Steady state Selection Using Genetic Algorithm Techniques", International Journal of Computer & organization Trends (IJCOT), V4(3):13-16 May - Jun 2015, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Abstract Genetic algorithm installation with a inhabitants of folks represented by chromosomes. Each chromosome is evaluated by its fitness value as computed by the intent function of the crisis. In genetic algorithms, the roulette wheel selection operator has spirit of utilization while steady state selection is influenced by exploration. In this paper, a analysis of these two selection operators is proposed that is a ideal merge of both i.e. searching and utilization. The population undergoes conversion using three primary genetic operators – selection, crossover and mutation which form new generation of population. The proposed solution is implemented in MATLAB using DNA Nucleotide Sequence of Cancer cells and the results were compared with roulette wheel selection and steady state selection with different problem sizes.
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Keywords
chromosome, roulette wheel, steady selection, crossover, mutation.