Authors: Najwa Altwaijry; Mohamed El Bachir Menai
Addresses: Department of Computer Science, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh 11453, Saudi Arabia ' Department of Computer Science, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh 11453, Saudi Arabia
Abstract: Placement is an important step in the VLSI design process, of which standard cell placement (SCP) is a well-studied problem. The four 'pure' major algorithms for placement include simulated annealing, quadratic placement, min-cut placement, and force-directed placement. The four pure algorithms are inadequate for today's complex problems; hybrid methods are better able to solve the current SCP problem sizes. The objective of this paper is to present a swarm intelligence-based method for SCP. The method used to solve the SCP problem is the artificial bee colony (ABC) algorithm, in conjunction with hMetis, a partitioning package. Our artificial bee colony PLacer tool (abcPL), has been tested on the PEKU benchmark suite. Results obtained show that ABC is a promising approach for solving the SCP problem.
Keywords: VLSI design; standard cell placement; artificial bee colony; ABC; metaheuristics; swarm intelligence.
International Journal of Metaheuristics, 2013 Vol.2 No.3, pp.234 - 255
Available online: 13 Sep 2013 *Full-text access for editors Access for subscribers Purchase this article Comment on this article