Publication:
Significance of parameters in genetic algorithm, the strengths, its limitations and challenges in image recovery

Simple item page
cris.virtual.departmentUniversiti Sains Islam Malaysia
cris.virtual.orcid0000-0003-4154-4103
cris.virtualsource.department70342104-1557-4dd9-b951-cb9b4050cc52
cris.virtualsource.orcid70342104-1557-4dd9-b951-cb9b4050cc52
dc.citedby1
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorShorman S.M.en_US
dc.contributor.authorSakinah Ali Pitchay
dc.date.accessioned2024-05-29T01:54:51Z
dc.date.available2024-05-29T01:54:51Z
dc.date.issued2015
dc.description.abstractThe Genetic Algorithm (GA) is becoming very attractive and suitable for solving problems where high computational performance is required. This paper describes theoretical aspects of genetic algorithms which are parameters used to get a result such as crossover, mutation, selection and fitness. Likewise, GA performs efficient search spaces to get an optimal solution. This paper also highlights several issues in which GA as a tool for recovering the image in variety domain. Generally, however this approach has some limitations, strengths and challenges that are also discussed in this paper. Findings on a simple simulation of GA are also presented. 2006-2015 Asian Research Publishing Network (ARPN).
dc.description.natureFinalen_US
dc.identifier.epage593
dc.identifier.issn18196608
dc.identifier.issue2
dc.identifier.scopus2-s2.0-84923033670
dc.identifier.spage585
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84923033670&partnerID=40&md5=57a91dca1b917511bfaed77d07ffed16
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9567
dc.identifier.volume10
dc.languageEnglish
dc.language.isoen_US
dc.publisherAsian Research Publishing Networken_US
dc.relation.ispartofARPN Journal of Engineering and Applied Sciences
dc.sourceScopus
dc.subjectEvolutionary algorithmsen_US
dc.subjectGenetic algorithmen_US
dc.subjectImage recoveryen_US
dc.subjectLimitationsen_US
dc.subjectStrengthsen_US
dc.titleSignificance of parameters in genetic algorithm, the strengths, its limitations and challenges in image recovery
dc.typetext::journal::journal article
dspace.entity.typePublication
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliationUniversiti Sains Islam Malaysia

Files

Collections

Indexed Publication