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Fast combinatorial optimization with parallel digital computers.

Fast combinatorial optimization with parallel digital computers. Research Abstract Details 

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  • Fast combinatorial optimization with parallel digital computers. Abstract Text:

    h kakeyaH Kakeya,y okabeY Okabe,

    This paper presents an algorithm which realizes fast search for the solutions of combinatorial optimization problems with parallel digital computers. With the standard weight matrices designed for combinatorial optimization, many iterations are required before convergence to a quasioptimal solution even when many digital processors can be used in parallel. By removing the components of the eigenvectors with eminent negative eigenvalues of the weight matrix, the proposed algorithm avoids oscillation and realizes energy reduction under synchronous discrete dynamics, which enables parallel digital computers to obtain quasi-optimal solutions with much less time than the conventional algorithm.

    Fast combinatorial optimization with parallel digital computers. Publishing Authors By Initials

    h kakeyaH Kakeya,y okabeY Okabe,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

    MEDLINE DATE:

    Fast combinatorial optimization with parallel digital computers. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: IEEE transactions on neural networks / a publicati

    VOLUME: 11

    Page Numbers: 1323-31

    Journal Abbreviation:

    ISSN: 1045-9227

    DAY: 5

    MONTH: 02

    YEAR: 2000

    Fast combinatorial optimization with parallel digital computers. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 101211035

    Fast combinatorial optimization with parallel digital computers. Keywords Mesh Terms:

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    Grant and Affiliation Information for Fast combinatorial optimization with parallel digital computers.

    AFFILIATION: Commun. Res. Lab., Minist. of Posts & Telecommun., Tokyo, Japan.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: IEEE Trans Neural Netw

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