Using reconfigurable architecture-based intrinsic incremental evolution to evolve a character classification system

Authors:
Jin Wang;Je Kyo Jung;Yong-min Lee;Chong Ho Lee
Affiliations:
Department of Information Technology & Telecommunication, Inha University, Incheon, Korea;Department of Information Technology & Telecommunication, Inha University, Incheon, Korea;Department of Information Technology & Telecommunication, Inha University, Incheon, Korea;Department of Information Technology & Telecommunication, Inha University, Incheon, Korea
Venue:
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Year:
2005

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Abstract

Evolvable hardware (EHW) has been employed in the circuit design automation domain, as an alternative to traditional human being designer. However, limited by the scalability of EHW, at present the scales of all the evolved circuits are smaller than the circuits designed by traditional method. In this paper, a character classification system for recognizing 16 characters was evolved by a novel evolution scheme: reconfigurable architecture-based intrinsic incremental evolution. The entire EHW system is implemented on one Xilinx Virtex xcv2000E FPGA that is fitted in the Celoxica RC1000 board. Hardware evolutionary result proved that the new method could bring us a scalable approach to EHW by efficiently limiting the chromosome string length and reducing the time complexity of evolutionary algorithm (EA).