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    FUZZIFIED SIMULATED EVOLUTION ALGORITHM FOR MULTI-OBJECTIVE OPTIMIZATION OF COMBINATIONAL LOGIC CIRCUITS

    FUZZIFIED SIMULATED EVOLUTION ALGORITHM FOR MULTI-OBJECTIVE OPTIMIZATION OF COMBINATIONAL LOGIC CIRCUITS. In: Computer Engineering Department, KFUPM.

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    Abstract

    In this paper, we employ fuzzified Simulated Evolution (SimE) Algorithm for combinational logic design. SimE algorithm consists of three steps: evaluation, selection and allocation. Multilevel Logic Based Goodness measure is designed to guide the selection and allocation operations of SimE. Area, power and delay are considered in the optimization of circuits. The performance of the proposed algorithm is evaluated using selected ISCAS’85 benchmark circuits. The results obtained are compared to those obtained using SIS.

    Item Type: Conference or Workshop Item (Other)
    Subjects: Computer
    Department: College of Computing and Mathematics > Computer Engineering
    Depositing User: AbdulRahman
    Date Deposited: 03 Mar 2008 05:58
    Last Modified: 01 Nov 2019 13:22
    URI: http://eprints.kfupm.edu.sa/id/eprint/197