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Heuristic search = the emerging scie...

Salhi, Said.

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Heuristic search = the emerging science of problem solving /

Record Type:	Electronic resources : 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.
[NT 15003449]:	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.
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 searchthe 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:

1066682
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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100 1 $a Salhi, Said. $3 3221210
245 1 0 $a Heuristic search $h [electronic resource] : $b the emerging science of problem solving / $c by Said Salhi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Palgrave Macmillan, $c 2017.
300 $a xvii, 213 p. : $b ill., digital ; $c 24 cm.
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. $3 1066682
650 0 $a Problem solving. $3 516855
650 1 4 $a Business and Management. $2 eflch $3 1485455
650 2 4 $a Business Information Systems. $3 892640
650 2 4 $a Big Data/Analytics. $3 2186785
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 891007
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-49355-8
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