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02673nam a22004935i 4500 |
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978-3-319-49355-8 |
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DE-He213 |
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20171115164502.0 |
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cr nn 008mamaa |
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170220s2017 gw | s |||| 0|eng d |
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|a 9783319493558
|9 978-3-319-49355-8
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7 |
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|a 10.1007/978-3-319-49355-8
|2 doi
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|d GrThAP
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|a HD30.2
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|a KJQ
|2 bicssc
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|a COM005030
|2 bisacsh
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|a 658.4038
|2 23
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|a Salhi, Saïd.
|e author.
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| 245 |
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|a Heuristic Search
|h [electronic resource] :
|b The Emerging Science of Problem Solving /
|c by Saïd Salhi.
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| 264 |
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|a Cham :
|b Springer International Publishing :
|b Imprint: Palgrave Macmillan,
|c 2017.
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| 300 |
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|a XVII, 213 p. 17 illus.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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|a 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.
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| 520 |
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|a 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.
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| 650 |
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|a Business.
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| 650 |
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|a Management information systems.
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| 650 |
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|a Big data.
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| 650 |
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|a Computer science.
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| 650 |
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|a Algorithms.
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| 650 |
1 |
4 |
|a Business and Management.
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| 650 |
2 |
4 |
|a Business Information Systems.
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| 650 |
2 |
4 |
|a Operations Research/Decision Theory.
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| 650 |
2 |
4 |
|a Big Data/Analytics.
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| 650 |
2 |
4 |
|a Algorithm Analysis and Problem Complexity.
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| 650 |
2 |
4 |
|a Computer Science, general.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783319493541
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| 856 |
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|u http://dx.doi.org/10.1007/978-3-319-49355-8
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-BUM
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| 950 |
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|a Business and Management (Springer-41169)
|
