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An Island-Based GA Implementation for VLSI Standard-Cell Placement
Guangfa Lu and Shawki Areibi
School of Engineering, University of Guelph, Ontario, N1G 2W1, Canadasareibi@uoguelph.ca
Abstract. Genetic algorithms require relatively large computation time to solve optimization problems, especially in VLSI CAD such as module placement. Therefore, island-based parallel GAs are used to speed up this procedure. The migration schemes that most researchers proposed in the past have migration near or after the demes converged [1,2]. However, for the placement of medium or large standard-cell circuits, the time required for convergence is extremely long, which makes the above migration schemes non practical. In this paper, we propose a novel migration scheme for synchronous island-based GA. Compared to the widely used ring topology that usually produces worse solutions at the beginning of the search but better solutions at later generations, the proposed migration scheme enables a parallel GA to outperform its serial version most of the time. Near linear speedup is obtained. We also implemented an asynchronous model that can achieve super-linear speedup.
LNCS 3103, p. 1138 ff.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2004