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Issue title: Adaptive Hardwarel / Evolvable Hardware
Guest editors: M.Gh. Negoitax and T. Arslany
Article type: Research Article
Authors: Bidlo, Michal; * | Škarvada, Jaroslav
Affiliations: Brno University of Technology, Faculty of Information Technology, Božetěchova 2, 61266 Brno, Czech Republic | [x] KES International, 2nd Floor, 145-157 St John Street, London, EC1V 4PY, UK | [y] School of Engineering & Electronics, The University of Edinburgh, Faraday Building, The King's Buildings, Mayfield Road, Edinburgh, EH9 3JL, UK
Correspondence: [*] Corresponding author. Tel.: +420 54114 1206; Fax.: +420 54114 1270; E-mail: bidlom@fit.vutbr.cz
Abstract: Evolutionary techniques provide powerful tools to design novel solutions for hard problems in different areas. However, the problem of scale (i.e. how to create a large, complex solution) represents a significant obstacle for the evolution of complex extensive systems. The computational development represents one of the approaches in the evolutionary design techniques that tries to overcome the problem of scale. In this paper an instruction-based developmental method is presented for the evolutionary design of generic structures of digital circuits. The developmental system involves a set of application-specific instructions constituting programs in order to solve a given task. In particular, the goal is to construct generic structures of combinational circuits. An evolutionary algorithm is utilized for the design of these programs that represent a mapping from the genotypes to the phenotypes during the evolutionary process, i.e. the prescription for the construction of target circuits. Two case-studies are presented in order to demonstrate the successfulness of this approach: (1) the evolutionary design of generic combinational multipliers and (2) the evolutionary design of generic sorting networks.
DOI: 10.3233/KES-2008-12305
Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 12, no. 3, pp. 221-236, 2008
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