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    EFFICIENT COMBINATIONAL CIRCUITS DESIGN THROUGH FUZZIFIED ANT COLONY OPTIMIZATION ALGORITHM

    EFFICIENT COMBINATIONAL CIRCUITS DESIGN THROUGH FUZZIFIED ANT COLONY OPTIMIZATION ALGORITHM. In: Computer Engineering Department, KFUPM.

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    Abstract

    With the increasing demand for high quality, more efficient and less area circuits, the problem of logic circuit design has become a multiobjective optimization problem. In this paper, a multiobjective optimization of logic circuits based on a fuzzified Ant Colony (ACO) algorithm is presented. The results obtained using the proposed algorithm are compared to those obtained using SIS in terms of area, delay and power. It is shown that the circuits produced by the proposed algorithm are better as compared to those obtained by SIS.

    Item Type: Conference or Workshop Item (Other)
    Subjects: Computer
    Department: College of Computing and Mathematics > Computer Engineering
    Depositing User: AbdulRahman
    Date Deposited: 02 Mar 2008 08:02
    Last Modified: 01 Nov 2019 13:22
    URI: http://eprints.kfupm.edu.sa/id/eprint/192