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

Автор: Gendreau
Название: Handbook of Metaheuristics
ISBN: 1441916636 ISBN-13(EAN): 9781441916631
Издательство: Springer
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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: 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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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
Название: Metaheuristics
ISBN: 3319454013 ISBN-13(EAN): 9783319454016
Издательство: Springer
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Описание: Introduction.- Simulated Annealing.- Tabu Search.- Search in Variable Neighborhoods.- The GRASP Search Algorithm.- Evolutionary Algorithms.- Artificial Ants.- Particle Swarms.- Other Metaheuristics.- Other Social Insect Algorithms.- Extending Evolutionary Algorithms for Multiobjective Optimization.- Extending Evolutionary Algorithms for Optimization Under Constraints.- Modeling and Comparison Methods.- Hybrid Metaheuristics for Optimizing Logistics.- Metaheuristics for Vehicle Routing Problems.- Applications in Air Traffic Management.

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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Описание: Metaheuristics for Production Systems

Автор: Abraham Duarte; Manuel Laguna; Rafael Marti
Название: Metaheuristics for Business Analytics
ISBN: 3319681176 ISBN-13(EAN): 9783319681177
Издательство: Springer
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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.

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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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.

Автор: Mauro Birattari
Название: Tuning Metaheuristics
ISBN: 3642101496 ISBN-13(EAN): 9783642101496
Издательство: Springer
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Описание: Metaheuristics are a relatively new but already established approachto c- binatorial optimization. A metaheuristic is a generic algorithmic template that can be used for ?nding high quality solutions of hard combinatorial - timization problems. To arrive at a functioning algorithm, a metaheuristic needs to be con?gured: typically some modules need to be instantiated and someparametersneedto betuned.Icallthese twoproblems"structural"and "parametric" tuning, respectively. More generally, I refer to the combination of the two problems as "tuning." Tuning is crucial to metaheuristic optimization both in academic research andforpracticalapplications.Nevertheless, relativelylittle researchhasbeen devoted to the issue. This book shows that the problem of tuning a me- heuristic can be described and solved as a machine learning problem. Using the machine learning perspective, it is possible to give a formal de?nitionofthetuningproblemandtodevelopagenericalgorithmfortuning metaheuristics.Moreover, fromthemachinelearningperspectiveitispossible tohighlightsome?awsinthecurrentresearchmethodologyandtostatesome guidelines for future empirical analysis in metaheuristics research. This book is based on my doctoral dissertation and contains results I have obtained starting from 2001 while working within the Metaheuristics Net- 1 work. During these years I have been a?liated with two research groups: INTELLEKTIK, Technische Universit t Darmstadt, Darmstadt, Germany and IRIDIA, Universit Libre de Bruxelles, Brussels, Belgium. I am the- fore grateful to the research directors of these two groups: Prof. Wolfgang Bibel, Dr. Thomas St tzle, Prof. Philippe Smets, Prof. Hugues Bersini, and Prof. Marco Dorigo.

Автор: Di Gaspero Luca
Название: Advances in Metaheuristics
ISBN: 1461463211 ISBN-13(EAN): 9781461463214
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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: Martin Josef Geiger; Walter Habenicht; Marc Sevaux
Название: Metaheuristics in the Service Industry
ISBN: 3642009387 ISBN-13(EAN): 9783642009389
Издательство: Springer
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Описание: Aims to combine a set of selected and peer-reviewed articles, presenting results of metaheuristics for modern services. This work considers applications in the area of transportation and logistics, and also other areas including production and financial services.

Автор: Johann Dr?o; A. Chatterjee; Alain P?trowski; Patri
Название: Metaheuristics for Hard Optimization
ISBN: 364206194X ISBN-13(EAN): 9783642061943
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Описание: Contains case studies from engineering and operations researchIncludes commented literature for each chapter

Автор: Karl F. Doerner; Michel Gendreau; Peter Greistorfe
Название: Metaheuristics
ISBN: 1441944214 ISBN-13(EAN): 9781441944214
Издательство: Springer
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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: Toshihide Ibaraki; Koji Nonobe; Mutsunori Yagiura
Название: Metaheuristics:
ISBN: 1441937900 ISBN-13(EAN): 9781441937902
Издательство: Springer
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Описание: Metaheuristics: Progress as Real Problem Solvers is a peer-reviewed volume of eighteen current, cutting-edge papers by leading researchers in the field.