| 书目名称 | Reactive Search and Intelligent Optimization |
| 编辑 | Roberto Battiti,Mauro Brunato,Franco Mascia |
| 视频video | |
| 概述 | Comprehensive introduction to principles of reactive search.Focuses on methods, but uses problems to help demonstrate points.Important reading for anyone in decision science within areas of business, |
| 丛书名称 | Operations Research/Computer Science Interfaces Series |
| 图书封面 |  |
| 描述 | .Reactive Search and Intelligent Optimization. is an excellent introduction to the main principles of reactive search, as well as an attempt to develop some fresh intuition for the approaches. The book looks at different optimization possibilities with an emphasis on opportunities for learning and self-tuning strategies. While focusing more on methods than on problems, problems are introduced wherever they help make the discussion more concrete, or when a specific problem has been widely studied by reactive search and intelligent optimization heuristics...Individual chapters cover reacting on the neighborhood; reacting on the annealing schedule; reactive prohibitions; model-based search; reacting on the objective function; relationships between reactive search and reinforcement learning; and much more. Each chapter is structured to show basic issues and algorithms; the parameters critical for the success of the different methods discussed; and opportunities forthe automated tuning of these parameters.. |
| 出版日期 | Book 2009 |
| 关键词 | algorithm; algorithms; artificial intelligence; experimental algorithmics; heuristics; learning; linear op |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-09624-7 |
| isbn_softcover | 978-1-4419-3499-4 |
| isbn_ebook | 978-0-387-09624-7Series ISSN 1387-666X Series E-ISSN 2698-5489 |
| issn_series | 1387-666X |
| copyright | Springer-Verlag US 2009 |
发表于 2025-3-21 19:18:43
