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Machine Scheduling to Minimize Weighted Completion Times : The Use of the α-point / by Nicoló Gusmeroli
(SpringerBriefs in Mathematics. ISSN:21918201)
版 | 1st ed. 2018. |
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出版者 | (Cham : Springer International Publishing : Imprint: Springer) |
出版年 | 2018 |
本文言語 | 英語 |
大きさ | XI, 53 p. 2 illus. in color : online resource |
著者標目 | *Gusmeroli, Nicoló author SpringerLink (Online service) |
件 名 | LCSH:Operations research LCSH:Management science LCSH:Mathematical optimization LCSH:Mathematics LCSH:Algorithms LCSH:Polytopes LCSH:Discrete mathematics FREE:Operations Research, Management Science FREE:Discrete Optimization FREE:Applications of Mathematics FREE:Algorithms FREE:Polytopes FREE:Discrete Mathematics |
一般注記 | 1 Introduction -- 2 List of Main Results -- 3 LP Relaxations for the Release Dates Case -- 4 Conversion Algorithm -- 5 Approximations for 1/ rj / ∑ wjCj -- 6 Approximations for 1/ rj / ∑ Cj -- 7 Approximation for 1/ rj, prec / ∑ wj Cj -- 8 Approximation for P / r j / ∑ Cj -- 9 Approximation for P / dij / ∑ wj Cj -- 10 Conclusions This work reviews the most important results regarding the use of the α-point in Scheduling Theory. It provides a number of different LP-relaxations for scheduling problems and seeks to explain their polyhedral consequences. It also explains the concept of the α-point and how the conversion algorithm works, pointing out the relations to the sum of the weighted completion times. Lastly, the book explores the latest techniques used for many scheduling problems with different constraints, such as release dates, precedences, and parallel machines. This reference book is intended for advanced undergraduate and postgraduate students who are interested in scheduling theory. It is also inspiring for researchers wanting to learn about sophisticated techniques and open problems of the field HTTP:URL=https://doi.org/10.1007/978-3-319-77528-9 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783319775289 |
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電子リソース |
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EB00237257 |
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データ種別 | 電子ブック |
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分 類 | LCC:T57.6-57.97 LCC:T55.4-60.8 DC23:3 |
書誌ID | 4000116743 |
ISBN | 9783319775289 |
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