Neural network parallel algorithm for meeting schedule problems

Kazuhiro Tsuchiya, Yoshiyasu Takefuji, Ken ichi Kurotani, Kunio Wakahara

研究成果: Paper査読

2 被引用数 (Scopus)

抄録

A parallel algorithm for solving meeting schedule problems is presented in this paper where the problem is NP-complete. The proposed system is composed of two maximum neural networks which interact with each other. One is an M×S neural network to assign meetings to available time slots on a timetable where M and S are the number of meetings and the number of time slots, respectively. The other is an M×P neural network to assign persons to the meetings where P is the number of persons. The simulation results show that the state of the system always converges to one of the solutions and that the solution quality of the proposed algorithm does not degrade with the problem size.

本文言語English
ページ173-177
ページ数5
出版ステータスPublished - 1996 12月 1
外部発表はい
イベントProceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2) - Perth, Aust
継続期間: 1996 11月 261996 11月 29

Other

OtherProceedings of the 1996 IEEE Region 10 TENCON - Digital Signal Processing Applications Conference. Part 2 (of 2)
CityPerth, Aust
Period96/11/2696/11/29

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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