| 書目名稱 | Intelligent Scheduling Systems |
| 編輯 | Donald E. Brown,William T. Scherer |
| 視頻video | http://file.papertrans.cn/470/469950/469950.mp4 |
| 叢書名稱 | Operations Research/Computer Science Interfaces Series |
| 圖書封面 |  |
| 描述 | Scheduling is a resource allocation problem which exists invirtually every type of organization. Scheduling problems haveproduced roughly 40 years of research primarily within the ORcommunity. This community has traditionally emphasized mathematicalmodeling techniques which seek exact solutions to well formulatedoptimization problems. While this approach produced important results,many contemporary scheduling problems are particularly difficult.Hence, over the last ten years operations researchers interested inscheduling have turned increasingly to more computer intensive andheuristic approaches. At roughly the same time, researchers in AIbegan to focus their methods on industrial and management scienceapplications. The result of this confluence of fields has been aperiod of remarkable growth and excitement in scheduling research...Intelligent Scheduling Systems. captures the results of a newwave of research at the forefront of scheduling research, of interestto researchers and practitioners alike. Presented are an array of thelatest contemporary tools -- math modeling to tabu search to geneticalgorithms -- that can assist in operational scheduling and solvedifficult scheduling pro |
| 出版日期 | Book 1995 |
| 關(guān)鍵詞 | Manufacturing; algorithms; genetic algorithms; modeling; operations research; optimization; organization; p |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4615-2263-8 |
| isbn_softcover | 978-1-4613-5954-8 |
| isbn_ebook | 978-1-4615-2263-8Series ISSN 1387-666X Series E-ISSN 2698-5489 |
| issn_series | 1387-666X |
| copyright | Springer Science+Business Media New York 1995 |
|Archiver|手機版|小黑屋|
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