Improved chaotic neuro-computer with output-coding for quadratic assignment problems

Koji Mori, Yoshihiko Horio, Kazuyuki Aihara

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, we improve performance of a chaotic neuro-computer in solving quadratic assignment problems (QAPs) by adopting an output-coding which constructs a feasible solution from analog internal-states of neurons at each iteration. Through measurements from the chaotic neuro-computer hardware, we show that we constantly obtain the optimum solution for size-10 QAPs. Furthermore, chaotic search dynamics through chaotic itinerancy is confirmed from time evolutions of a cost function and an energy function. Moreover, we observe internal states of arbitrary three neurons in a network to extract useful information on network dynamics that is effective in solving the QAPs.

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, IJCNN 2005
ページ3312-3317
ページ数6
DOI
出版ステータスPublished - 2005 12 1
外部発表はい
イベントInternational Joint Conference on Neural Networks, IJCNN 2005 - Montreal, QC, Canada
継続期間: 2005 7 312005 8 4

出版物シリーズ

名前Proceedings of the International Joint Conference on Neural Networks
5

Other

OtherInternational Joint Conference on Neural Networks, IJCNN 2005
国/地域Canada
CityMontreal, QC
Period05/7/3105/8/4

ASJC Scopus subject areas

  • ソフトウェア
  • 人工知能

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