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A VLSI placement method using genetic algorithm considering hierarchical structure of solution space.

Authors :
Koakutsu, Seiichi
Urushida, Yuji
Hirata, Hironori
Source :
Electrical Engineering in Japan; 4/15/2000, Vol. 131 Issue 1, p86-93, 8p
Publication Year :
2000

Abstract

This paper proposes a new VLSI placement method using genetic algorithm considering the hierarchical structure of solution space. In the proposed method, we introduce a special solution encoding which represents the hierarchical structure of solution space, and new crossover operators which can maintain the hierarchical structure of the encoded solution. Making use of the hierarchical nature of the solution space, the proposed method can search the solution space efficiently. We demonstrate the efficiency of the proposed method by applying it to VLSI cell placement problems. Computational experiments show that the proposed method obtains better placement results within less computation time compared with conventional genetic algorithm. © 2000 Scripta Technica, Electr Eng Jpn, 131(1): 86–93, 2000 [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
04247760
Volume :
131
Issue :
1
Database :
Complementary Index
Journal :
Electrical Engineering in Japan
Publication Type :
Academic Journal
Accession number :
13348724
Full Text :
https://doi.org/10.1002/(SICI)1520-6416(20000415)131:1<86::AID-EEJ9>3.0.CO;2-5