國立虎尾科技大學 |

Handbook of Metaheuristics

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Handbook of Metaheuristics/ edited by Michel Gendreau, Jean-Yves Potvin.
other author:	Gendreau, Michel.
Description:	XX, 604 p. 98 illus., 56 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Operations research. -
Online resource:	https://doi.org/10.1007/978-3-319-91086-4
ISBN:	9783319910864

Handbook of Metaheuristics
Handbook of Metaheuristics[electronic resource] /edited by Michel Gendreau, Jean-Yves Potvin. - 3rd ed. 2019. - XX, 604 p. 98 illus., 56 illus. in color.online resource. - International Series in Operations Research & Management Science,2720884-8289 ;. - International Series in Operations Research & Management Science,227.

Chapter 1. Simulated Annealing: From Basics to Applications -- Chapter 2. Tabu Search -- Chapter 3. Variable Neighborhood Search -- Chapter 4. Large Neighborhood Search -- Chapter 5. Iterated Local Search: Framework and Applications -- Chapter 6. Greedy Randomized Adaptive Search Procedures: Advances and Extensions -- Chapter 7. Intelligent Multi-Start Methods -- Chapter 8. Next Generation Genetic Algorithms: A User’s Guide and Tutorial -- Chapter 9. An Accelerated Introduction to Memetic Algorithms -- Chapter 10. Ant Colony Optimization: Overview and Recent Advances -- Chapter 11. Swarm Intelligence -- Chapter 12. Metaheuristic Hybrids -- Chapter 13. Parallel Metaheuristics and Cooperative Search -- Chapter 14. A Classification of Hyper-heuristic Approaches – Revisited -- Chapter 15. Reactive Search Optimization: Learning while Optimizing -- Chapter 16. Stochastic Search in Metaheuristics -- Chapter 17. Automated Design of Metaheuristic Algorithms -- Chapter 18. Computational Comparison of Metaheuristics.

The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book’s chapters serve as stand-alone presentations giving both the necessary underpinnings as well as practical guides for implementation. The nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences, and the chapters in this handbook are designed to facilitate this process as well. This new edition has been fully revised and features new chapters on swarm intelligence and automated design of metaheuristics from flexible algorithm frameworks. The authors who have contributed to this volume represent leading figures from the metaheuristic community and are responsible for pioneering contributions to the fields they write about. Their collective work has significantly enriched the field of optimization in general and combinatorial optimization in particular. Metaheuristics are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space. In addition, many new and exciting developments and extensions have been observed in the last few years. Hybrids of metaheuristics with other optimization techniques, like branch-and-bound, mathematical programming or constraint programming are also increasingly popular. On the front of applications, metaheuristics are now used to find high-quality solutions to an ever-growing number of complex, ill-defined real-world problems, in particular combinatorial ones. This handbook should continue to be a great reference for researchers, graduate students, as well as practitioners interested in metaheuristics.

ISBN: 9783319910864

Standard No.: 10.1007/978-3-319-91086-4doiSubjects--Topical Terms:

573517
Operations research.

LC Class. No.: HD30.23

Dewey Class. No.: 658.40301

Handbook of Metaheuristics
LDR:04373nam a22004215i 4500 001 1009579
003 DE-He213
005 20200704044710.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783319910864 $9 978-3-319-91086-4
024 7 $a 10.1007/978-3-319-91086-4 $2 doi
035 $a 978-3-319-91086-4
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 Handbook of Metaheuristics $h [electronic resource] / $c edited by Michel Gendreau, Jean-Yves Potvin.
250 $a 3rd ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XX, 604 p. 98 illus., 56 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 272
505 0 $a Chapter 1. Simulated Annealing: From Basics to Applications -- Chapter 2. Tabu Search -- Chapter 3. Variable Neighborhood Search -- Chapter 4. Large Neighborhood Search -- Chapter 5. Iterated Local Search: Framework and Applications -- Chapter 6. Greedy Randomized Adaptive Search Procedures: Advances and Extensions -- Chapter 7. Intelligent Multi-Start Methods -- Chapter 8. Next Generation Genetic Algorithms: A User’s Guide and Tutorial -- Chapter 9. An Accelerated Introduction to Memetic Algorithms -- Chapter 10. Ant Colony Optimization: Overview and Recent Advances -- Chapter 11. Swarm Intelligence -- Chapter 12. Metaheuristic Hybrids -- Chapter 13. Parallel Metaheuristics and Cooperative Search -- Chapter 14. A Classification of Hyper-heuristic Approaches – Revisited -- Chapter 15. Reactive Search Optimization: Learning while Optimizing -- Chapter 16. Stochastic Search in Metaheuristics -- Chapter 17. Automated Design of Metaheuristic Algorithms -- Chapter 18. Computational Comparison of Metaheuristics.
520 $a The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book’s chapters serve as stand-alone presentations giving both the necessary underpinnings as well as practical guides for implementation. The nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences, and the chapters in this handbook are designed to facilitate this process as well. This new edition has been fully revised and features new chapters on swarm intelligence and automated design of metaheuristics from flexible algorithm frameworks. The authors who have contributed to this volume represent leading figures from the metaheuristic community and are responsible for pioneering contributions to the fields they write about. Their collective work has significantly enriched the field of optimization in general and combinatorial optimization in particular. Metaheuristics are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space. In addition, many new and exciting developments and extensions have been observed in the last few years. Hybrids of metaheuristics with other optimization techniques, like branch-and-bound, mathematical programming or constraint programming are also increasingly popular. On the front of applications, metaheuristics are now used to find high-quality solutions to an ever-growing number of complex, ill-defined real-world problems, in particular combinatorial ones. This handbook should continue to be a great reference for researchers, graduate students, as well as practitioners interested in metaheuristics.
650 0 $a Operations research. $3 573517
650 0 $a Decision making. $3 528319
650 0 $a Management science. $3 719678
650 0 $a Computer science—Mathematics. $3 1253519
650 1 4 $a Operations Research/Decision Theory. $3 669176
650 2 4 $a Operations Research, Management Science. $3 785065
650 2 4 $a Math Applications in Computer Science. $3 669887
700 1 $a Gendreau, Michel. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1303535
700 1 $a Potvin, Jean-Yves. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1303536
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319910857
776 0 8 $i Printed edition: $z 9783319910871
776 0 8 $i Printed edition: $z 9783030081737
830 0 $a International Series in Operations Research & Management Science, $x 0884-8289 ; $v 227 $3 1254441
856 4 0 $u https://doi.org/10.1007/978-3-319-91086-4
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)