1. Dspace@NITW
  2. Conference Papers
  3. Electrical Engineering
Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/3283
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMonica, T.-
dc.contributor.authorRajasekhar, A.-
dc.contributor.authorPant, M.-
dc.contributor.authorAbraham, A.-
dc.date.accessioned2025-05-26T10:27:03Z-
dc.date.available2025-05-26T10:27:03Z-
dc.date.issued2011-
dc.identifier.citation10.1007/978-3-642-22606-9_19en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3283-
dc.descriptionNITWen_US
dc.description.abstractIn this paper we propose a mechanism for enhancing the performance of the Artificial Bee Colony Algorithm (ABCA) by making use low discrepancy Sobol sequence. The performance of the proposed Sobol sequence guided ABC (S-ABC) is analyzed over several benchmark functions and also compared to that of basic ABC. The empirical results show that the presence of low discrepancy sequence like that of Sobol, significantly improves the performance of the basic ABCA.en_US
dc.language.isoenen_US
dc.publisherCommunications in Computer and Information Scienceen_US
dc.subjectArtificial beesen_US
dc.subjectQuasi random sequencesen_US
dc.titleEnhancing the Local Exploration Capabilities of Artificial Bee Colony using Low Discrepancy Sobol Sequencen_US
dc.typeOtheren_US
Appears in Collections:Electrical Engineering

Files in This Item:
File Description SizeFormat 
ic3.pdf570.13 kBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.