Effect of mutation and effective use of mutation in genetic algorithm

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dc.contributor.authorDassanayake, VPC
dc.date.accessioned2019-01-15T01:15:49Z
dc.date.available2019-01-15T01:15:49Z
dc.description.abstractAuthor tries to analyze the effect of genetic algorithm when mutation rate is selected randomly compared to fixed mutation rates or/and adaptive mutation rates. The results shows that though it is not always possible to get comparable results using randomly selected mutation rates, it is possible to obtain the required range with less number of trials than using fixed mutation rates for this nature applicationsen_US
dc.identifier.conferenceITRU Research Symposiumen_US
dc.identifier.departmentDepartment of Mechanical Engineeringen_US
dc.identifier.emailpalitha@mech.mrt.ac.lken_US
dc.identifier.facultyEngineeringen_US
dc.identifier.pgnospp. 21 - 24en_US
dc.identifier.placeMoratuwa, Sri Lankaen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/13794
dc.identifier.year2015en_US
dc.language.isoenen_US
dc.subjectGenetic algorithm, mutation, fitness function.en_US
dc.titleEffect of mutation and effective use of mutation in genetic algorithmen_US
dc.typeConference-Abstracten_US

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ITRU - 2015