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アキバ トモアキ
Tomoaki Akiba
秋葉 知昭 所属 千葉工業大学 未来変革科学部 経営デザイン科学科 千葉工業大学 社会システム科学研究科 マネジメント工学専攻 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2026/02 |
| 形態種別 | 学術雑誌 |
| 査読 | 査読あり |
| 標題 | Iterated Local Search for Optimal Component Assignment in Three-Dimensional Consecutive-(1, 1, 2)!/(n1, n2, n3):F Systems |
| 執筆形態 | 共著 |
| 掲載誌名 | International Journal of Reliability, Quality and Safety Engineering |
| 掲載区分 | 国外 |
| 出版社・発行元 | International Journal of Reliability, Quality and Safety Engineering |
| 担当範囲 | Basic Ideas proposed for obtaining reliability Three-dimensional (r1,r2,r3) System |
| 著者・共著者 | Taishin Nakamura, Tomoaki Akiba, and Koji Shingyochi |
| 概要 | Consecutive-k systems are reliability models in which clusters of failed components can cause an overall system failure. The component assignment problem (CAP) aims to determine the optimal arrangement of components with different reliabilities to maximize system reliability. However, there is no algorithm to solve the CAP in three-dimensional connected-(1,1,2)!-out-of-(n1, n2, n3):F systems. In this study, the CAP is addressed in three-dimensional connected-(1,1,2)!-out-of-(n1,n2,n3):F systems, where system failure occurs when two adjacent components fail along any axis. We propose an iterated local search algorithm that employs five perturbation strategies to effectively explore the solution space. Computational experiments were conducted on four system sizes, and the results indicate that the choice of perturbation strategy significantly affects solution quality and computational time. |
| DOI | https://doi.org/10.1142/S0218539326500178 |