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Proceedings Paper

Application of evolutionary computation in ECAD problems
Author(s): Dae-Hyun Lee; Seung Ho Hwang
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Paper Abstract

Design of modern electronic system is a complicated task which demands the use of computer- aided design (CAD) tools. Since a lot of problems in ECAD are combinatorial optimization problems, evolutionary computations such as genetic algorithms and evolutionary programming have been widely employed to solve those problems. We have applied evolutionary computation techniques to solve ECAD problems such as technology mapping, microcode-bit optimization, data path ordering and peak power estimation, where their benefits are well observed. This paper presents experiences and discusses issues in those applications.

Paper Details

Date Published: 13 October 1998
PDF: 12 pages
Proc. SPIE 3455, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation, (13 October 1998); doi: 10.1117/12.326702
Show Author Affiliations
Dae-Hyun Lee, Korea Advanced Institute of Science and Technology (South Korea)
Seung Ho Hwang, Korea Advanced Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 3455:
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation
Bruno Bosacchi; David B. Fogel; James C. Bezdek, Editor(s)

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