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Heuristic search = the emerging scie...
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SpringerLink (Online service)
Heuristic search = the emerging science of problem solving /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Heuristic search/ by Said Salhi.
Reminder of title:
the emerging science of problem solving /
Author:
Salhi, Said.
Published:
Cham :Springer International Publishing : : 2017.,
Description:
xvii, 213 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Heuristic algorithms. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-49355-8
ISBN:
9783319493558
Heuristic search = the emerging science of problem solving /
Salhi, Said.
Heuristic search
the emerging science of problem solving /[electronic resource] :by Said Salhi. - Cham :Springer International Publishing :2017. - xvii, 213 p. :ill., digital ;24 cm.
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.
ISBN: 9783319493558
Standard No.: 10.1007/978-3-319-49355-8doiSubjects--Topical Terms:
837099
Heuristic algorithms.
LC Class. No.: T57.84 / .S25 2017
Dewey Class. No.: 006.3
Heuristic search = the emerging science of problem solving /
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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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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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