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Handbook of Heuristics, Rafael Mart?; Panos M. Pardalos; Mauricio G. C. Re


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Автор: Rafael Mart?; Panos M. Pardalos; Mauricio G. C. Re
Название:  Handbook of Heuristics
ISBN: 9783319071244
Издательство: Springer
Классификация:


ISBN-10: 3319071246
Вес: 0.00 кг.
Дата издания: 2018
Язык: English
Иллюстрации: 285 illus., 152 illus. in color. eReference.
Размер: eReference work
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Heuristics are strategies using readily accessible, loosely applicable information to control problem solving. Algorithms, for example, are a type of heuristic. By contrast, Metaheuristics are methods used to design Heuristics and may coordinate the usage of several Heuristics toward the formulation of a single method. GRASP (Greedy Randomized Adaptive Search Procedures) is an example of a Metaheuristic. To the layman, heuristics may be thought of as ‘rules of thumb’ but despite its imprecision, heuristics is a very rich field that refers to experience-based techniques for problem-solving, learning, and discovery. Any given solution/heuristic is not guaranteed to be optimal but heuristic methodologies are used to speed up the process of finding satisfactory solutions where optimal solutions are impractical. The introduction to this Handbook provides an overview of the history of Heuristics along with main issues regarding the methodologies covered. This is followed by Chapters containing various examples of local searches, search strategies and Metaheuristics, leading to an analyses of Heuristics and search algorithms. The reference concludes with numerous illustrations of the highly applicable nature and implementation of Heuristics in our daily life. Each chapter of this work includes an abstract/introduction with a short description of the methodology. Key words are also necessary as part of top-matter to each chapter to enable maximum search engine optimization. Next, chapters will include discussion of the adaptation of this methodology to solve a difficult optimization problem, and experiments on a set of representative problems.
Дополнительное описание: Search StrategiesLocal SearchMetaheuristicsAnalysis and ImplementationApplications



Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics

Автор: Thomas St?tzle; Mauro Birattari; Holger H. Hoos
Название: Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics
ISBN: 3540744452 ISBN-13(EAN): 9783540744450
Издательство: Springer
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Цена: 9083.00 р.
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Описание: Constitutes the refereed proceedings of the International Workshop on Engineering Stochastic Local Search Algorithms 2007, held in Brussels, Belgium, September 6-8, 2007. This work covers topics including Methodological developments, behavior of SLS algorithms, search space analysis, algorithm performance, tuning procedures and AI/OR techniques.

How to Solve It: Modern Heuristics

Автор: Zbigniew Michalewicz; David B. Fogel
Название: How to Solve It: Modern Heuristics
ISBN: 3642061346 ISBN-13(EAN): 9783642061349
Издательство: Springer
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Цена: 9083.00 р.
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Fuzzy Sets Based Heuristics for Optimization

Автор: Jos?-Luis Verdegay
Название: Fuzzy Sets Based Heuristics for Optimization
ISBN: 3642056113 ISBN-13(EAN): 9783642056116
Издательство: Springer
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Цена: 29209.00 р.
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Описание: The aim of this volume is to show how Fuzzy Sets and Systems can help to provide robust and adaptive heuristic optimization algorithms in a variety of situations. The book presents the state of the art and gives a broad overview on the real practical applications that Fuzzy Sets, based on heuristic algorithms, have.

Meta-Heuristics

Автор: Ibrahim H. Osman; James P. Kelly
Название: Meta-Heuristics
ISBN: 1461285879 ISBN-13(EAN): 9781461285878
Издательство: Springer
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Цена: 51570.00 р.
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Описание: These families of approaches include, but are not limited to greedy random adaptive search procedures, genetic algorithms, problem-space search, neural networks, simulated annealing, tabu search, threshold algorithms, and their hybrids.

Hyper-Heuristics: Theory and Applications

Автор: Nelishia Pillay; Rong Qu
Название: Hyper-Heuristics: Theory and Applications
ISBN: 3319965131 ISBN-13(EAN): 9783319965130
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications. The authors organized the 13 chapters into three parts. The first, hyper-heuristic fundamentals and theory, provides an overview of selection constructive, selection perturbative, generation constructive and generation perturbative hyper-heuristics, and then a formal definition of hyper-heuristics. The chapters in the second part of the book examine applications of hyper-heuristics in vehicle routing, nurse rostering, packing and examination timetabling. The third part of the book presents advanced topics and then a summary of the field and future research directions. Finally the appendices offer details of the HyFlex framework and the EvoHyp toolkit, and then the definition, problem model and constraints for the most tested combinatorial optimization problems. The book will be of value to graduate students, researchers, and practitioners.

Hyper-Heuristics: Theory and Applications

Автор: Nelishia Pillay; Rong Qu
Название: Hyper-Heuristics: Theory and Applications
ISBN: 3030072061 ISBN-13(EAN): 9783030072063
Издательство: Springer
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Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This introduction to the field of hyper-heuristics presents the required foundations and tools and illustrates some of their applications. The authors organized the 13 chapters into three parts. The first, hyper-heuristic fundamentals and theory, provides an overview of selection constructive, selection perturbative, generation constructive and generation perturbative hyper-heuristics, and then a formal definition of hyper-heuristics. The chapters in the second part of the book examine applications of hyper-heuristics in vehicle routing, nurse rostering, packing and examination timetabling. The third part of the book presents advanced topics and then a summary of the field and future research directions. Finally the appendices offer details of the HyFlex framework and the EvoHyp toolkit, and then the definition, problem model and constraints for the most tested combinatorial optimization problems. The book will be of value to graduate students, researchers, and practitioners.

Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance

Автор: Pandian Vasant
Название: Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance
ISBN: 1466620862 ISBN-13(EAN): 9781466620865
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance, and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.

Bioinspired Heuristics for Optimization

Автор: Talbi
Название: Bioinspired Heuristics for Optimization
ISBN: 3319951033 ISBN-13(EAN): 9783319951034
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book presents recent research on bioinspired heuristics for optimization. Featuring the most relevant work presented at the 6th International Conference on Metaheuristics and Nature Inspired Computing, held at Marrakech (Morocco) from 27th to 31st October 2016, the book presents solutions, methods, algorithms, case studies, and software.

Meta-Heuristics

Автор: Stefan Vo?; Silvano Martello; Ibrahim H. Osman; Ca
Название: Meta-Heuristics
ISBN: 1461376467 ISBN-13(EAN): 9781461376460
Издательство: Springer
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Цена: 27950.00 р.
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Описание: Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimizations comprises a carefully refereed selection of extended versions of the best papers presented at the Second Meta-Heuristics Conference (MIC 97).


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