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    Fuzzified Iterative Algorithms for Performance Driven Low Power VLSI Placement

    (2001) Fuzzified Iterative Algorithms for Performance Driven Low Power VLSI Placement. In: IEEE International Conference on Computer Design, ICCD'2001, Austin.

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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 objective and constraints are expressed in fuzzy goals. The proposed algorithms are compared with genetic algorithm.

    Item Type: Conference or Workshop Item (Other)
    Subjects: Computer
    Department: College of Computing and Mathematics > Computer Engineering
    Depositing User: AbdulRahman
    Date Deposited: 25 Feb 2008 08:17
    Last Modified: 01 Nov 2019 13:22
    URI: http://eprints.kfupm.edu.sa/id/eprint/107