Fuzzified iterative algorithms for performance driven low power VLSI placement

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

In this paper, we employ fuzzified simulated evolution and stochastic evolution algorithms for VLSI standard cell placement targeting low power dissipation and high performance. Due to the imprecise nature of design information at the placement stage, the various objectives and constraints are expressed in fuzzy domain. The search is made to evolve towards a vector of fuzzy goals. The proposed algorithms are compared with genetic algorithm.

Original languageEnglish
Article number71
Pages (from-to)484-487
Number of pages4
JournalProceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors
DOIs
StatePublished - 2001

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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