Self-organization via competition, cooperation and categorization applied to extended vehicle routing problems

Yasuo Matsuyama

研究成果: Conference contribution

16 被引用数 (Scopus)

抄録

Competitive learning in neural networks involving cooperation and categorization is discussed. Extended vehicle routing problems in the Euclidean space are discussed. A fixed number of vehicles with a shared depot make subtours around precategorized cities and collect demands. The minimal tour length and even loaded demands are conflicting requirements for the optimization. This situation does not appear in a simple traveling salesman problem. The self-organization method gives qualified approximate solutions without computational backtracks. Experiments were made on the USA532 set. All computations can be carried out by a conventional workstation.

本文言語English
ホスト出版物のタイトルProceedings. IJCNN-91-Seattle: International Joint Conference on Neural Networks
編集者 Anon
Place of PublicationPiscataway, NJ, United States
出版社Publ by IEEE
ページ385-390
ページ数6
ISBN(印刷版)0780301641
出版ステータスPublished - 1991
外部発表はい
イベントInternational Joint Conference on Neural Networks - IJCNN-91-Seattle - Seattle, WA, USA
継続期間: 1991 7 81991 7 12

Other

OtherInternational Joint Conference on Neural Networks - IJCNN-91-Seattle
CitySeattle, WA, USA
Period91/7/891/7/12

ASJC Scopus subject areas

  • Engineering(all)

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