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A genetic algorithm for VLSI floorplanning using O-Tree representation

Tang, Maolin & Sebastian, Alvin (2005) A genetic algorithm for VLSI floorplanning using O-Tree representation. In Lecture Notes in Computer Science, Springer, pp. 215-224.

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Abstract

Floorplanning is one of the most important problems in VLSI physical design automation. A fundamental research problem in the VLSI floorplanning is representation because it determines the size of search space and the complexity of the transformation between a representation and its corresponding floorplan. O-tree representation is one of the most efficient floorplan representations as it has the smallest search space among all the admissible floorplan representations and the computational complexity of transformation between a representation and its corresponding floorplan is only O(n). The efficiency of O-tree representation was demonstrated by a deterministic algorithm proposed by Guo et al.. The deterministic algorithm can quickly find a reasonably good floorplan. However, the deterministic floorplanning algorithm, by its nature, is a local search algorithm, and thereby may not be able to find an optimal or near-optimal solution sometimes. This paper presents a genetic algorithm for the VLSI floorplanning problem using O-tree representation. Experimental results show that the GA can consistently produce better results than the deterministic algorithm.

Impact and interest:

7 citations in Scopus
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6 citations in Web of Science®

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ID Code: 8668
Item Type: Conference Paper
Additional Information: For more information, please refer to the publisher's website (see hypertext link) or contact the author. Author contact details: m.tang@qut.edu.au
Keywords: floorplanning, genetic algorithm, VLSI, ordered tree
DOI: 10.1007/b106856
ISBN: 9783540253969
ISSN: 1611-3349
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Neural Evolutionary and Fuzzy Computation (080108)
Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > NUMERICAL AND COMPUTATIONAL MATHEMATICS (010300) > Optimisation (010303)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Microelectronics and Integrated Circuits (090604)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2005 Springer
Copyright Statement: Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springer.de/comp/lncs/ Lecture Notes in Computer Science
Deposited On: 17 Jul 2007
Last Modified: 29 Feb 2012 23:14

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