Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2576
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dc.contributor.authorStomeo, E-
dc.contributor.authorKalganova, T-
dc.contributor.authorLambert, C-
dc.coverage.spatial7en
dc.date.accessioned2008-08-07T13:22:47Z-
dc.date.available2008-08-07T13:22:47Z-
dc.date.issued2006-
dc.identifier.citation1st NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2006). Istanbul, Turkey, June 15–18, 2006. pp. 179 - 185en
dc.identifier.isbn0-7695-2614-4-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/2576-
dc.description.abstractEvolvable hardware refers to a self reconfigurable electronic circuit, where the circuit configuration is under the control of an evolutionary algorithm. Evolvable hardware has shown one of its main deficiencies, when applied to solving real world applications, to be scalability. In the past few years several techniques have been proposed to avoid and/or solve this problem. Generalized disjunction decomposition (GDD) is one of these proposed methods. GDD was successful for the evolution of large combinational logic circuits based on a FPGA structure when used together with bi-directional incremental evolution and with (1+ë) evolution strategy. In this paper a modified generalized disjunction decomposition, together with a recently introduced multi-population genetic algorithm, are implemented and tested for its scalability for solving large combinational logic circuits based on Programmable Logic Array (PLA) structures.en
dc.format.extent240124 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherIEEEen
dc.titleGeneralized disjunction decomposition for the evolution of programmable logic array structuresen
dc.typeConference Paperen
dc.identifier.doihttp://dx.doi.org/10.1109/AHS.2006.47-
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Electrical Engineering Research Papers



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