Asymmetric Neural Network and Its Application to Knapsack Problem
スポンサーリンク
概要
- 論文の詳細を見る
We propose an asymmetric neural network which can solve inequality-constrained combinatorial optimization problems that are difficult to solve using symmetric neural networks. In this article, a knapsack problem that is one of such the problem is solved using the proposed network. Additionally, we study condition for obtaining a valid solution. In computer simulations, we show that the condition is correct and that the proposed network produces better solutions than the simple greedy algorithm.
- 社団法人電子情報通信学会の論文
- 1995-03-25
著者
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OHTA Masaya
College of Engineering, University of Osaka Prefecture
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OGIHARA Akio
College of Engineering, University of Osaka Prefecture
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FUKUNAGA Kunio
College of Engineering, University of Osaka Prefecture
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Ueda H
Teikyo Univ. Kanagawa Jpn
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Ogihara A
Osaka Prefecture Univ. Sakai‐shi Jpn
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Ogihara Akio
College Of Engineering Osaka Prefecture University
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Fukunaga K
Osaka Prefecture Univ. Sakai‐shi Jpn
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Fukunaga Kunio
The Department Of Computer And Systems Sciences Osaka Prefecture University
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Fukunaga Kunio
College Of Engineering Osaka Prefecture University
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Ohta Masaya
College Of Engineering University Of Osaka Prefecture
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Yamamoto Akira
College of Engineering, University of Osaka Prefecture
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Ueda Hiroshi
College of Engineering, University of Osaka Prefecture
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Ueda H
Usa Marine Biological Institute Kochi University
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Yamamoto A
Meteorological Research Institute
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