dc.creatorALICIA MORALES REYES
dc.creatorAhmet Erdogan
dc.date2012
dc.date.accessioned2023-07-25T16:24:33Z
dc.date.available2023-07-25T16:24:33Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1897
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7807088
dc.descriptionThis article empirically assesses a coarse-fine approach for diversity tuning in cellular Genetic Algorithms (cGAs). The coarse tuning is performed through the constant reconfiguration of the grid while the fine tuning is locally achieved through dynamic anisotropic selection which considers individuals' locations in the local neighborhood. Benchmark problems including continuous, real-world and combinatorial problems are evaluated. The experimental results show an improvement in cGAs performance when compared to having a fixed topology configuration or to independently applying dynamic lattice reconfiguration or dynamic anisotropic.
dc.formatapplication/pdf
dc.languageeng
dc.publisherAdvances in Electrical and Computer Engineering
dc.relationcitation:Morales-Reyes, A. & Erdogan-Ahmet,T. (2012). A structure-based coarse-fine approach for diversity tuning in cellular GAs, Advances in Electrical and Computer Engineering, Vol. 12 (3): 39-46
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/Evolutionary computation/Evolutionary computation
dc.subjectinfo:eu-repo/classification/Genetic algorithms/Genetic algorithms
dc.subjectinfo:eu-repo/classification/Parallel algorithms/Parallel algorithms
dc.subjectinfo:eu-repo/classification/Optimization/Optimization
dc.subjectinfo:eu-repo/classification/Adaptive algorithm/Adaptive algorithm
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/12
dc.subjectinfo:eu-repo/classification/cti/1203
dc.subjectinfo:eu-repo/classification/cti/1203
dc.titleA structure-based coarse-fine approach for diversity tuning in cellular GAs
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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