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Heuristics, metaheuristics and appro...

Rabadi, Ghaith.

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Heuristics, metaheuristics and approximate methods in planning and scheduling

Record Type:	Electronic resources : Monograph/item
Title/Author:	Heuristics, metaheuristics and approximate methods in planning and scheduling/ edited by Ghaith Rabadi.
other author:	Rabadi, Ghaith.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xii, 264 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Heuristic algorithms. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-26024-2
ISBN:	9783319260242$q(electronic bk.)

Heuristics, metaheuristics and approximate methods in planning and scheduling
Heuristics, metaheuristics and approximate methods in planning and scheduling[electronic resource] /edited by Ghaith Rabadi. - Cham :Springer International Publishing :2016. - xii, 264 p. :ill., digital ;24 cm. - International series in operations research & management science,v.2360884-8289 ;. - International series in operations research & management science ;89..

The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems. While it is not possible to give a comprehensive treatment of this topic in one book, the aim of this work is to provide the reader with a diverse set of planning and scheduling problems and different heuristic approaches to solve them. The problems range from traditional single stage and parallel machine problems to more modern settings such as robotic cells and flexible job shop networks. Furthermore, some chapters deal with deterministic problems while some others treat stochastic versions of the problems. Unlike most of the literature that deals with planning and scheduling problems in the manufacturing and production environments, in this book the environments were extended to nontraditional applications such as spatial scheduling (optimizing space over time), runway scheduling, and surgical scheduling. The solution methods used in the different chapters of the book also spread from well-established heuristics and metaheuristics such as Genetic Algorithms and Ant Colony Optimization to more recent ones such as Meta-RaPS.

ISBN: 9783319260242$q(electronic bk.)

Standard No.: 10.1007/978-3-319-26024-2doiSubjects--Topical Terms:

1066682
Heuristic algorithms.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.1

Heuristics, metaheuristics and approximate methods in planning and scheduling
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245 0 0 $a Heuristics, metaheuristics and approximate methods in planning and scheduling $h [electronic resource] / $c edited by Ghaith Rabadi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xii, 264 p. : $b ill., digital ; $c 24 cm.
490 1 $a International series in operations research & management science, $x 0884-8289 ; $v v.236
520 $a The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems. While it is not possible to give a comprehensive treatment of this topic in one book, the aim of this work is to provide the reader with a diverse set of planning and scheduling problems and different heuristic approaches to solve them. The problems range from traditional single stage and parallel machine problems to more modern settings such as robotic cells and flexible job shop networks. Furthermore, some chapters deal with deterministic problems while some others treat stochastic versions of the problems. Unlike most of the literature that deals with planning and scheduling problems in the manufacturing and production environments, in this book the environments were extended to nontraditional applications such as spatial scheduling (optimizing space over time), runway scheduling, and surgical scheduling. The solution methods used in the different chapters of the book also spread from well-established heuristics and metaheuristics such as Genetic Algorithms and Ant Colony Optimization to more recent ones such as Meta-RaPS.
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650 2 4 $a Operations Research, Management Science. $3 1532996
700 1 $a Rabadi, Ghaith. $3 2181678
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830 0 $a International series in operations research & management science ; $v 89. $3 1305920
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