Heuristic Search : The Emerging Science of Problem Solving / by Saïd Salhi
Publisher | (Cham : Springer International Publishing : Imprint: Palgrave Macmillan) |
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Year | 2017 |
Edition | 1st ed. 2017. |
Authors | *Salhi, Saïd author SpringerLink (Online service) |
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Links to the text | Location | Volume | Call No. | Barcode No. | Status | Comments | ISBN | Printed | Restriction | Reserve |
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Links to the text | Library Off-campus access |
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OB00147549 | Springer Business and Management eBooks (電子ブック) | 9783319493558 |
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Material Type | E-Book |
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Media type | 機械可読データファイル |
Size | XVII, 213 p. 17 illus : online resource |
Notes | Chapter 1: Introduction -- Chapter 2: Improvement-Only Heuristics -- Chapter 3: Not-Necessary Improving Heuristics -- Chapter 4: Population-based Heuristics -- Chapter 5: Hybridisation Search -- Chapter 6: Implementation Issues -- Chapter 7 Applications, Conclusion and Research Challenges This book aims to provide a general overview of heuristic search, to present the basic steps of the most popular heuristics, and to stress their hidden difficulties as well as their opportunities. It provides a comprehensive understanding of Heuristic search, the applications of which are now widely used in a variety of industries including engineering, finance, sport, management and medicine. It intends to aid researchers and practitioners in solving complex combinatorial and global optimisation problems, and spark interest in this exciting decision science-based subject. It will provide the reader with challenging and lively methodologies through which they will be able to design and analyse their own techniques HTTP:URL=https://doi.org/10.1007/978-3-319-49355-8 |
Subjects | LCSH:Management information systems LCSH:Operations research LCSH:Decision making LCSH:Big data LCSH:Algorithms LCSH:Computer science FREE:Business Information Systems FREE:Operations Research/Decision Theory FREE:Big Data/Analytics FREE:Algorithm Analysis and Problem Complexity FREE:Computer Science, general |
Classification | LCC:HD30.2 DC23:658.4038 |
ID | 8000069582 |
ISBN | 9783319493558 |
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