Fuzzified iterative algorithms for performance driven low powerVLSI placement

(2001) Fuzzified iterative algorithms for performance driven low powerVLSI placement. Computer Design, 2001. ICCD 2001. Proceedings. 2001 International conference, 1.

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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

Item Type: Article
Subjects: Computer
Department: College of Computing and Mathematics > Computer Engineering
Depositing User: Mr. Admin Admin
Date Deposited: 24 Jun 2008 13:37
Last Modified: 01 Nov 2019 14:05
URI: https://eprints.kfupm.edu.sa/id/eprint/14467