1. DSpace at Indian Statistical Institute
  2. Scientific Contributions of ISI
  3. Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10263/5262
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKargupta, H-
dc.contributor.authorBandyopadhyay, Sanghamitra-
dc.date.accessioned2013-02-25T11:06:40Z-
dc.date.available2013-02-25T11:06:40Z-
dc.date.issued2000-
dc.identifier.citationThe Journal of Computer Methods in Applied Mechanics and Engineering, v. 186, p. 266--294en_US
dc.identifier.urihttp://hdl.handle.net/10263/5262-
dc.language.isoenen_US
dc.subjectLinkage learningen_US
dc.subjectGenetic algorithmsen_US
dc.subjectMessy GAsen_US
dc.subjectFast messy GAen_US
dc.subjectGEMGAen_US
dc.titleA Perspective on the foundation and evolution of the linkage learning genetic algorithmsen_US
dc.typeArticleen_US
Appears in Collections:Computer Science

Files in This Item:
File Description SizeFormat 
TJCMIAMAE-186-2000-p266--294.pdf389.79 kBAdobe PDFView/Open
Show simple item record


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