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VLSI Placement and Area Optimization Using a Genetic Algorithm to Breed Normalized Postfix Expressions

Mumford, Christine Lesley and Wang, P.Y. 2002. VLSI Placement and Area Optimization Using a Genetic Algorithm to Breed Normalized Postfix Expressions. IEEE Transactions on Evolutionary Computation 6 (4) , pp. 390-401. 10.1109/TEVC.2002.802872

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Abstract

We present a genetic algorithm (GA) that uses a slicing tree construction process for the placement and area optimization of soft modules in very large scale integration floorplan design. We have overcome the serious representational problems usually associated with encoding slicing floorplans into GAs and have obtained excellent (often optimal) results for module sets with up to 100 rectangles. The slicing tree construction process used by our GA to generate the floorplans has a runtime scaling of O(n lg n). This compares very favorably with other recent approaches based on nonslicing floorplans that require much longer runtimes. We demonstrate that our GA outperforms a simulated annealing implementation with the same representation and mutation operators as the GA

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Uncontrolled Keywords: VLSI; circuit layout CAD; genetic algorithms; simulated annealing
ISSN: 1089778X
Last Modified: 04 Jun 2017 01:42
URI: http://orca.cf.ac.uk/id/eprint/1834

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