10000 cell placement optimization using a self-organizing map

Masanobu Takahashi, Kazuo Kyuma, Etsuo Funada

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

A new approach for the cell placement problem using a self-organizing map is proposed. This method requires a memory size of only O(N) to solve an N cell problem. Large scale problems can be solved on a workstation in a reasonable computation time. Simulation results show better performance than two conventional methods; the neural method using a feedback type neural network and the heuristic method called the relaxation method. The true optimum solution for the placement of 10,000 cells is found. An application for the design of printed circuit boards is also demonstrated.

本文言語English
ホスト出版物のタイトルProceedings of the International Joint Conference on Neural Networks
出版社Publ by IEEE
ページ2417-2420
ページ数4
ISBN(印刷版)0780314212, 9780780314214
出版ステータスPublished - 1993
外部発表はい
イベントProceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3) - Nagoya, Jpn
継続期間: 1993 10 251993 10 29

出版物シリーズ

名前Proceedings of the International Joint Conference on Neural Networks
3

Other

OtherProceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3)
CityNagoya, Jpn
Period93/10/2593/10/29

ASJC Scopus subject areas

  • ソフトウェア
  • 人工知能

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