國立虎尾科技大學 |

Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling/ edited by Ghaith Rabadi.
other author:	Rabadi, Ghaith.
Description:	XII, 264 p. 48 illus., 23 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Operations research. -
Online resource:	https://doi.org/10.1007/978-3-319-26024-2
ISBN:	9783319260242

Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling
Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling[electronic resource] /edited by Ghaith Rabadi. - 1st ed. 2016. - XII, 264 p. 48 illus., 23 illus. in color.online resource. - International Series in Operations Research & Management Science,2360884-8289 ;. - International Series in Operations Research & Management Science,227.

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

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

573517
Operations research.

LC Class. No.: HD30.23

Dewey Class. No.: 658.40301

Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling
LDR:02691nam a22004095i 4500 001 972416
003 DE-He213
005 20200705024946.0
007 cr nn 008mamaa
008 201211s2016 gw | s |||| 0|eng d
020 $a 9783319260242 $9 978-3-319-26024-2
024 7 $a 10.1007/978-3-319-26024-2 $2 doi
035 $a 978-3-319-26024-2
050 4 $a HD30.23
072 7 $a KJT $2 bicssc
072 7 $a BUS049000 $2 bisacsh
072 7 $a KJT $2 thema
072 7 $a KJMD $2 thema
082 0 4 $a 658.40301 $2 23
245 1 0 $a Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling $h [electronic resource] / $c edited by Ghaith Rabadi.
250 $a 1st ed. 2016.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a XII, 264 p. 48 illus., 23 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a International Series in Operations Research & Management Science, $x 0884-8289 ; $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.
650 0 $a Operations research. $3 573517
650 0 $a Decision making. $3 528319
650 0 $a Business logistics. $3 562973
650 0 $a Management science. $3 719678
650 1 4 $a Operations Research/Decision Theory. $3 669176
650 2 4 $a Supply Chain Management. $3 1102107
650 2 4 $a Logistics. $3 643936
650 2 4 $a Operations Research, Management Science. $3 785065
700 1 $a Rabadi, Ghaith. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1104601
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319260228
776 0 8 $i Printed edition: $z 9783319260235
776 0 8 $i Printed edition: $z 9783319798783
830 0 $a International Series in Operations Research & Management Science, $x 0884-8289 ; $v 227 $3 1254441
856 4 0 $u https://doi.org/10.1007/978-3-319-26024-2
912 $a ZDB-2-BUM
912 $a ZDB-2-SXBM
950 $a Business and Management (SpringerNature-41169)
950 $a Business and Management (R0) (SpringerNature-43719)