Heuristic search : the emerging science of problem solving /

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Bibliographic Details
Author / Creator:Salhi, Said, author.
Imprint:Cham, Switzerland : Springer Science and Business Media : Palgrave Macmillan, [2017]
©2017
Description:1 online resource
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11271863
Hidden Bibliographic Details
ISBN:9783319493558
3319493558
9783319493541
331949354X
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
Vendor-supplied metadata.
Summary: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.
Other form:Print version: Salhi, Said. Heuristic search. Cham, Switzerland : Springer Science and Business Media : Palgrave Macmillan, [2017] 331949354X 9783319493541
Standard no.:10.1007/978-3-319-49355-8

MARC

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505 0 |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. 
520 |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. 
650 0 |a Heuristic algorithms.  |0 http://id.loc.gov/authorities/subjects/sh2009010989 
650 0 |a Problem solving.  |0 http://id.loc.gov/authorities/subjects/sh85107109 
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650 7 |a Heuristic algorithms.  |2 fast  |0 (OCoLC)fst01749726 
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