DocumentCode :
2732582
Title :
A VLSI routing algorithm based on improved DPSO
Author :
Dong, Chen ; Wang, Gaofeng ; Chen, Zhenyi ; Sun, Shilei ; Wang, Dingwen
Author_Institution :
Comput. Sch., Wuhan Univ., Wuhan, China
Volume :
1
fYear :
2009
fDate :
20-22 Nov. 2009
Firstpage :
802
Lastpage :
805
Abstract :
The minimum rectilinear Steiner tree (MRST) problem is an NP-hard problem, which is one of the fundamental issues in electronic design automation (EDA). Particle swarm optimization (PSO) has been proved to be an efficient intelligent algorithm for optimization designs. This paper presents an application of discrete particle swarm optimization (DPSO) for resolving MRST in VLSI routing and proposes a routing algorithm based on improved DPSO (DPSO-RA in short). A novel encoding and several updating operations for DPSO are adopted respectively, according to the characteristics of discrete PSO. The parameters are adjusted to find out an MRST and, consequently, achieve interconnect of all destination nodes in VLSI. The experiments have been carried out to demonstrate the feasibility of DPSO-RA implement to VLSI routing. Moreover, the algorithm also shows good result in routing optimization.
Keywords :
VLSI; computational complexity; electronic design automation; microprocessor chips; network routing; particle swarm optimisation; DPSO-RA algorithm; NP-hard problem; VLSI routing algorithm; discrete particle swarm optimization; electronic design automation; minimum rectilinear Steiner tree problem; Algorithm design and analysis; Educational institutions; Electronic design automation and methodology; Information technology; Mathematics; Microelectronics; Particle swarm optimization; Routing; Switches; Very large scale integration; DPSO-RA; MRST; Routing; VLSI;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5358030
Filename :
5358030
Link To Document :
بازگشت