Heuristic search : the emerging science of problem solving

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...

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Bibliographic Details
Main Author Salhi, Said (Author)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer Science and Business Media : Palgrave Macmillan, [2017]
Subjects
Online AccessFull text
ISBN9783319493558
9783319493541
Physical Description1 online resource

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245 1 0 |a Heuristic search :  |b the emerging science of problem solving /  |c Said Salhi. 
264 1 |a Cham, Switzerland :  |b Springer Science and Business Media :  |b Palgrave Macmillan,  |c [2017] 
264 4 |c ©2017 
300 |a 1 online resource 
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504 |a Includes bibliographical references and index. 
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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
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. 
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650 0 |a Heuristic algorithms. 
650 0 |a Problem solving. 
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