書誌事項
- タイトル別名
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- 117402 Design and Performance of a Search Space Smoothing Method in Combination with the Metropolis Algorithm
抄録
A new search space smoothing method is developed for the study aiming at a function-based understanding of the local search approach for heuristic optimization. The algorithm is designed by using the Metropolis algorithm as a local search procedure and is arranged to solve the traveling salesman problem. The schedule for the smoothing parameter and the value of the temperature for the search with the Metropolis algorithm are determined by considering the smoothing-parameter dependence of the specific heat and the temperature dependence of the optimization performance. The resulting algorithm successfully improves the performance of the existing algorithm in combination with the 2-opt local search procedure.
収録刊行物
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- 日本機械学会関東支部総会講演会講演論文集
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日本機械学会関東支部総会講演会講演論文集 2011.17 (0), 35-36, 2011
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390282680822132736
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- NII論文ID
- 110009663736
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- ISSN
- 24242691
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可