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Transform of Artificial Immune System algorithm optimization based on mathematical test function

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dc.citedby2
dc.contributor.authorYaw M.W.en_US
dc.contributor.authorChong K.H.en_US
dc.contributor.authorKamil K.en_US
dc.contributor.authorid54584659100en_US
dc.contributor.authorid36994481200en_US
dc.contributor.authorid57195622807en_US
dc.date.accessioned2023-05-29T06:38:52Z
dc.date.available2023-05-29T06:38:52Z
dc.date.issued2017
dc.descriptionArtificial intelligence; Control systems; Functions; Gallium; Genetic algorithms; Immune system; Mathematical transformations; Artificial Immune System; Artificial immune system algorithms; Biological immune system; Complex optimization problems; Global searching; Hybrid algorithms; Hyper mutation; Test functions; Optimizationen_US
dc.description.abstractArtificial Immune System (AIS) is inspired by nature biological immune system. AIS algorithm has ability to improve the global searching during optimization. However, hypermutation of AIS itself cannot always guarantee a better solution for convergence and accuracy. Therefore Genetic Algorithm (GA) has been used efficiently in solving complex optimization problems. The capability of individual algorithm can makes the new algorithm techniques more efficiency by overcome the shortcomings and without losing their own advantages. This paper demonstrates a hybrid algorithm known as Transform of Artificial Immune System (Trans-AIS) by combining AIS and GA algorithm. There are three mathematical test function are used for comparison to achieve the minimum value which are Rastrigin's, DeJong's and Griewank's functions. In this paper, the simulation of the test function results by using AIS and Trans-AIS will compare with optimization results by other researchers. By comparing the results, it is observed that the performance of Trans-AIS is comparable (if not superior) to other researchers' algorithm. � 2016 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7893561
dc.identifier.doi10.1109/ICCSCE.2016.7893561
dc.identifier.epage150
dc.identifier.scopus2-s2.0-85019000127
dc.identifier.spage147
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85019000127&doi=10.1109%2fICCSCE.2016.7893561&partnerID=40&md5=8da9fb901c622f01af920e5f5b270ee4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23259
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016
dc.titleTransform of Artificial Immune System algorithm optimization based on mathematical test functionen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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