Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling, Rabadi Ghaith

Автор: Gendreau
Название: Handbook of Metaheuristics
ISBN: 331991085X ISBN-13(EAN): 9783319910857
Издательство: Springer
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Цена: 20124.00 р. 25155.00 -20%
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Описание: Metaheuristics have grown into one of the most prominent areas of operations research. This update of a trailblazing volume examines the latest developments in the field.

Автор: El-Ghazali Talbi; Farouk Yalaoui; Lionel Amodeo
Название: Metaheuristics for Production Systems
ISBN: 3319233491 ISBN-13(EAN): 9783319233499
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Metaheuristics for Production Systems

Автор: Abraham Duarte; Manuel Laguna; Rafael Marti
Название: Metaheuristics for Business Analytics
ISBN: 3319885529 ISBN-13(EAN): 9783319885520
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This essential metaheuristics tutorial provides descriptions and practical applications in the area of business analytics. It addresses key problems in predictive and prescriptive analysis, while also illustrating how problems that arise in business analytics can be modelled and how metaheuristics can be used to find high-quality solutions. Readers will be introduced to decision-making problems for which metaheuristics offer the most effective solution technique. The book not only shows business problem modelling on a spreadsheet but also how to design and create a Visual Basic for Applications code.

Автор: Gendreau
Название: Handbook of Metaheuristics
ISBN: 1441916636 ISBN-13(EAN): 9781441916631
Издательство: Springer
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Цена: 33401.00 р.
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Описание: Metaheuristics have grown into one of the most prominent areas of operations research. This update of a trailblazing volume examines the latest developments in the field.

Автор: Karl F. Doerner; Michel Gendreau; Peter Greistorfe
Название: Metaheuristics
ISBN: 1441944214 ISBN-13(EAN): 9781441944214
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book`s aim is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas.

Автор: El-Ghazali Talbi; Farouk Yalaoui; Lionel Amodeo
Название: Metaheuristics for Production Systems
ISBN: 331979471X ISBN-13(EAN): 9783319794716
Издательство: Springer
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Цена: 13974.00 р.
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Описание:

A Literature Survey on Metaheuristics in Production Systems.- Solving Unidirectional Flow Path Design Problems Using Metaheuristics.- Iterated Great Deluge for the Dynamic Facility Layout Problem.- Optimization Approaches for Multi-Level Assembly Systems Under Stochastic Lead Times.- An Adapted NSGA-H Algorithm for a Reconfigurable Manufacturing System (RMS) Design Under Machines Reliability Constraints.- Levy Strategy Based Metaheuristic for Smart Grid.- Minimising Safety Stock and Lead Time in Production Systems Under Guaranteed-Service Time Models by Swarm Intelligence.- Tabu Search Approaches for Two Car Sequencing Problems with Smoothing Constraints.- Investigations on Performance Evaluation of Scheduling Heuristics and Metaheuristics in a Parallel machine Environment.- Scheduling Complex Manufacturing Systems Using a Genetic Algorithm.- An Efficient Heuristic to Minimize the Total Tardiness in the Parallel Machines Scheduling Problem.- Integrated Planning and Scheduling with Dynamic Analysis and Control of Service Level and Costs.- Meta-heuristics Approaches for the Flexible Job Shop Scheduling Problem.- Fuzzy Modeling of Single Machine Scheduling Problems Including the Learning Effect.

Автор: Di Gaspero Luca
Название: Advances in Metaheuristics
ISBN: 1461463211 ISBN-13(EAN): 9781461463214
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Collecting work presented at the 9th Metaheuristics International Conference (2011), this book covers theoretical properties and performance guarantees, configuration of metaheuristic algorithms, combining metaheuristics and other algorithmic methods and more.

Автор: Ghaith Rabadi
Название: Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling
ISBN: 3319260227 ISBN-13(EAN): 9783319260228
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems.

Автор: Kaushik Kumar and J. Paulo Davim
Название: Optimization using evolutionary algorithms and metaheuristics
ISBN: 0367260441 ISBN-13(EAN): 9780367260446
Издательство: Taylor&Francis
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Цена: 25265.00 р.
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Описание: This book covers developments and advances of algorithm based optimization techniques These techniques were only used for non-engineering problems. This book applies them to engineering problems.

Автор: Yossi Borenstein; Alberto Moraglio
Название: Theory and Principled Methods for the Design of Metaheuristics
ISBN: 3662519550 ISBN-13(EAN): 9783662519554
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book describes methods for incorporating problem knowledge in evolutionary algorithms and other metaheuristics, and shows how statistical methods can use experimental data to enhance the performance of existing metaheuristics in a systematic way.

Автор: Patrick Siarry; Zbigniew Michalewicz
Название: Advances in Metaheuristics for Hard Optimization
ISBN: 3642092063 ISBN-13(EAN): 9783642092060
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and metaheuristics.

Автор: Lionel Amodeo; El-Ghazali Talbi; Farouk Yalaoui
Название: Recent Developments in Metaheuristics
ISBN: 3319582526 ISBN-13(EAN): 9783319582528
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book highlights state-of-the-art developments in metaheuristics research. It examines all aspects of metaheuristic research including new algorithmic developments, applications, new research challenges, theoretical developments, implementation issues, in-depth experimental studies.