脳にヒントを得た組み合わせ最適化のためのカオスグラフ誤差逆伝播法
IEEE transactions on neural networks and learning systems
|January 12, 2026
まとめ
本研究では、グラフニューラルネットワーク(GNN)の新規訓練アルゴリズムであるカオスグラフ誤差逆伝播法(CGBP)を紹介する。CGBPは組み合わせ最適化問題(COP)に対するGNNを強化し、局所解を回避することで既存手法を凌駕する。
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