Performance Evaluation of WMN-GA Simulation System for Different Settings of Genetic Operators Consi...
Performance Evaluation of WMN-GA Simulation System for Different Settings of Genetic Operators Considering Giant Component and Number of Covered Users
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Hershey: IGI Global
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English
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Hershey: IGI Global
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In this paper, the authors propose and implement a system based on Genetic Algorithms (GAs) called WMN-GA. They evaluated the performance of WMN-GA for 0.7 crossover rate and 0.3 mutation rate, exponential ranking and different distribution of clients considering size of giant component and number of covered users parameters. The simulation results...
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Performance Evaluation of WMN-GA Simulation System for Different Settings of Genetic Operators Considering Giant Component and Number of Covered Users
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TN_cdi_crossref_primary_10_4018_jdst_2012070101
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_4018_jdst_2012070101
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ISSN
1947-3532
E-ISSN
1947-3540
DOI
10.4018/jdst.2012070101