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dc.contributor.authorMarti, Leonardoen_US
dc.date.accessioned2011-11-14T18:24:28Z
dc.date.available2011-11-14T18:24:28Z
dc.date.issued1992-02en_US
dc.identifier.urihttps://hdl.handle.net/2144/2095
dc.description.abstractGenetic Algorithms (GAs) make use of an internal representation of a given system in order to perform optimization functions. The actual structural layout of this representation, called a genome, has a crucial impact on the outcome of the optimization process. The purpose of this paper is to study the effects of different internal representations in a GA, which generates neural networks. A second GA was used to optimize the genome structure. This structure produces an optimized system within a shorter time interval.en_US
dc.language.isoen_USen_US
dc.publisherBoston University Center for Adaptive Systems and Department of Cognitive and Neural Systemsen_US
dc.relation.ispartofseriesBU CAS/CNS Technical Reports;CAS/CNS-TR-1992-015en_US
dc.rightsCopyright 1992 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and / or special permission.en_US
dc.titleGenetically Generated Neural Networks II: Searching for an Optimal Representationen_US
dc.typeTechnical Reporten_US
dc.rights.holderBoston University Trusteesen_US


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