May 13, 1983

シミュレーテッドアニーリングによる最適化

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Abstract

統計力学（有限温度で熱平衡にある多自由度系の振る舞い）と多変量または組合せ最適化（多くのパラメータに依存する関数の最小値探索）との間には深く有用な関連性があります。固体の焼きなましとの詳細な類推は、非常に大規模で複雑なシステムの特性最適化の枠組みを提供します。この統計力学への関連は新たな情報を明らかにし、従来の最適化問題および手法に対して馴染みのない視点をもたらします。

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Authors

Scott Kirkpatrick

C. D. Gelatt

M.P. Vecchi

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Science

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IBM Research - Thomas J. Watson Research Center

Instituto Venezolano de Investigaciones Científicas

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Kirkpatrickら（Fri,）はこの問題を研究しました。

www.synapsesocial.com/papers/69d6c31739aaaf0da5ab3565 — DOI: https://doi.org/10.1126/science.220.4598.671

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シミュレーテッドアニーリングによる最適化

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