Universiti Teknologi Malaysia Institutional Repository

A two-step binary particle swarm optimization approach for routing in VLSI with iterative RLC delay model

Md. Yusof, Zulkifli and Tan, Zhe Hong and Zainal Abidin, Amar Faiz and Abdul Salam, Mohammad Nazry and Adam, Asrul and Ahmed Mukred, Jameel Abdulla and Khalil, Kamal and Shaikh-Husin, N. and Ibrahim, Zuwairie (2011) A two-step binary particle swarm optimization approach for routing in VLSI with iterative RLC delay model. In: CIMSIM 2011 - 3rd International Conference On Computational Intelligence, Modelling & Simulation, CIMSIM 2011.

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Official URL: http://dx.doi.org/10.1109/CIMSim.2011.21

Abstract

Manipulation of wire sizing, buffer sizing, and buffer insertion are a few techniques that can be used to improve time delay in very large scale integration (VLSI) circuit routing. This paper enhances an existing approach, which is based on Particle Swarm Optimization (PSO) for solving routing problem in VLSI circuits. A two-step Binary Particle Swarm Optimization (BPSO) approach, which is based on BPSO, is chosen in this study to improve time delay through finding the best path of wire placement with buffer insertion from source to sink. The best path of wire placement is found in the first step by the first BPSO and then the second BPSO finds the best location of buffer insertion along the wire. A case study is taken to measure the performance of the proposed model and the result obtained compared to the previous PSO approach for VLSI routing.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Wires, Routing, Delay effects, Very large scale integration, Particle swarm optimization, Computational modeling, Delay, binary particle swarm optimization, very large scale integrated circuit, routing problem, buffer insertion, interconnect
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:45529
Deposited By: Haliza Zainal
Deposited On:10 Jun 2015 03:01
Last Modified:30 Aug 2017 07:46

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