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

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 probl...

Full description

Bibliographic Details
Main Authors: Md. Yusof, Zulkifli, Tan, Zhe Hong, Zainal Abidin, Amar Faiz, Abdul Salam, Mohammad Nazry, Adam, Asrul, Ahmed Mukred, Jameel Abdulla, Khalil, Kamal, Shaikh-Husin, N., Ibrahim, Zuwairie
Format: Conference or Workshop Item
Published: 2011
Subjects:
_version_ 1796858768657481728
author Md. Yusof, Zulkifli
Tan, Zhe Hong
Zainal Abidin, Amar Faiz
Abdul Salam, Mohammad Nazry
Adam, Asrul
Ahmed Mukred, Jameel Abdulla
Khalil, Kamal
Shaikh-Husin, N.
Ibrahim, Zuwairie
author_facet Md. Yusof, Zulkifli
Tan, Zhe Hong
Zainal Abidin, Amar Faiz
Abdul Salam, Mohammad Nazry
Adam, Asrul
Ahmed Mukred, Jameel Abdulla
Khalil, Kamal
Shaikh-Husin, N.
Ibrahim, Zuwairie
author_sort Md. Yusof, Zulkifli
collection ePrints
description 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.
first_indexed 2024-03-05T19:17:20Z
format Conference or Workshop Item
id utm.eprints-45529
institution Universiti Teknologi Malaysia - ePrints
last_indexed 2024-03-05T19:17:20Z
publishDate 2011
record_format dspace
spelling utm.eprints-455292017-08-30T07:46:35Z http://eprints.utm.my/45529/ A two-step binary particle swarm optimization approach for routing in VLSI with iterative RLC delay model Md. Yusof, Zulkifli Tan, Zhe Hong Zainal Abidin, Amar Faiz Abdul Salam, Mohammad Nazry Adam, Asrul Ahmed Mukred, Jameel Abdulla Khalil, Kamal Shaikh-Husin, N. Ibrahim, Zuwairie TK Electrical engineering. Electronics Nuclear engineering 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. 2011 Conference or Workshop Item PeerReviewed 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. http://dx.doi.org/10.1109/CIMSim.2011.21
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Md. Yusof, Zulkifli
Tan, Zhe Hong
Zainal Abidin, Amar Faiz
Abdul Salam, Mohammad Nazry
Adam, Asrul
Ahmed Mukred, Jameel Abdulla
Khalil, Kamal
Shaikh-Husin, N.
Ibrahim, Zuwairie
A two-step binary particle swarm optimization approach for routing in VLSI with iterative RLC delay model
title A two-step binary particle swarm optimization approach for routing in VLSI with iterative RLC delay model
title_full A two-step binary particle swarm optimization approach for routing in VLSI with iterative RLC delay model
title_fullStr A two-step binary particle swarm optimization approach for routing in VLSI with iterative RLC delay model
title_full_unstemmed A two-step binary particle swarm optimization approach for routing in VLSI with iterative RLC delay model
title_short A two-step binary particle swarm optimization approach for routing in VLSI with iterative RLC delay model
title_sort two step binary particle swarm optimization approach for routing in vlsi with iterative rlc delay model
topic TK Electrical engineering. Electronics Nuclear engineering
work_keys_str_mv AT mdyusofzulkifli atwostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT tanzhehong atwostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT zainalabidinamarfaiz atwostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT abdulsalammohammadnazry atwostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT adamasrul atwostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT ahmedmukredjameelabdulla atwostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT khalilkamal atwostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT shaikhhusinn atwostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT ibrahimzuwairie atwostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT mdyusofzulkifli twostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT tanzhehong twostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT zainalabidinamarfaiz twostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT abdulsalammohammadnazry twostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT adamasrul twostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT ahmedmukredjameelabdulla twostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT khalilkamal twostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT shaikhhusinn twostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel
AT ibrahimzuwairie twostepbinaryparticleswarmoptimizationapproachforroutinginvlsiwithiterativerlcdelaymodel