Neural networks for solving Constrained Steiner Tree problem

Chotipat Pornavalai, Goutam Chakraborty, Norio Shiratori

    研究成果: Conference contribution

    2 引用 (Scopus)

    抜粋

    Hopfield neural network model for finding an optimal or shortest path between two nodes in a graph was proposed recently in some literatures. In this paper, we present a modified version of Hopfield model to find an optimal tree (least total cost tree) from a source node to a number of destination nodes, where each path from source to a destination must satisfy a constraint condition (delay bound condition). This problem is called Constrained Steiner Tree (CST) problem, and was proved to he a NP-complete. A new adaptive coefficient control method for the proposed Hopfield energy function is also developed. Through computer simulation, it is shown that the proposed model could always find a near-optimal valid solution.

    元の言語English
    ホスト出版物のタイトルIEEE International Conference on Neural Networks - Conference Proceedings
    出版場所Piscataway, NJ, United States
    出版者IEEE
    ページ1867-1870
    ページ数4
    4
    出版物ステータスPublished - 1995
    イベントProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6) - Perth, Aust
    継続期間: 1995 11 271995 12 1

    Other

    OtherProceedings of the 1995 IEEE International Conference on Neural Networks. Part 1 (of 6)
    Perth, Aust
    期間95/11/2795/12/1

    ASJC Scopus subject areas

    • Software

    フィンガープリント Neural networks for solving Constrained Steiner Tree problem' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Pornavalai, C., Chakraborty, G., & Shiratori, N. (1995). Neural networks for solving Constrained Steiner Tree problem. : IEEE International Conference on Neural Networks - Conference Proceedings (巻 4, pp. 1867-1870). IEEE.