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Metaheuristics for Business Analytics, Abraham Duarte; Manuel Laguna; Rafael Marti


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Автор: Abraham Duarte; Manuel Laguna; Rafael Marti
Название:  Metaheuristics for Business Analytics
ISBN: 9783319885520
Издательство: Springer
Классификация:


ISBN-10: 3319885529
Обложка/Формат: Soft cover
Страницы: 136
Вес: 0.24 кг.
Дата издания: 2018
Серия: EURO Advanced Tutorials on Operational Research
Язык: English
Издание: Softcover reprint of
Иллюстрации: 2 illustrations, color; 23 illustrations, black and white; x, 136 p. 25 illus., 2 illus. in color.
Размер: Book (Paperback Initiative)
Читательская аудитория: Professional & vocational
Основная тема: Business and Management
Подзаголовок: A Decision Modeling Approach
Ссылка на Издательство: Link
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Поставляется из: Германии
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.
Extra Material can be downloaded at http://extras.springer.com/978-3-319-68117-7.

Дополнительное описание: Introduction to Spreadsheet Modelling and Metaheuristics.- General Concepts in Metaheuristic Search.- Greedy Randomized Adaptive Search Procedures.- Tabu Search.- Black-box Solvers.



Handbook of Metaheuristics

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%
Наличие на складе: Есть (1 шт.)
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.

Metaheuristics for Vehicle Routing Problems

Автор: Nacima Labadie, Christian Prins, Caroline Prodhon
Название: Metaheuristics for Vehicle Routing Problems
ISBN: 1848218117 ISBN-13(EAN): 9781848218116
Издательство: Wiley
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Цена: 22010.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

This book is dedicated to metaheuristics as applied to vehicle routing problems. Several implementations are given as illustrative examples, along with applications to several typical vehicle routing problems.

As a first step, a general presentation intends to make the reader more familiar with the related field of logistics and combinatorial optimization. This preamble is completed with a description of significant heuristic methods classically used to provide feasible solutions quickly, and local improvement moves widely used to search for enhanced solutions. The overview of these fundamentals allows appreciating the core of the work devoted to an analysis of metaheuristic methods for vehicle routing problems. Those methods are exposed according to their feature of working either on a sequence of single solutions, or on a set of solutions, or even by hybridizing metaheuristic approaches with others kind of methods.

Metaheuristics for Production Systems

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

Current Approaches in Metaheuristics

Автор: Epps Amelia
Название: Current Approaches in Metaheuristics
ISBN: 1632381079 ISBN-13(EAN): 9781632381071
Издательство: Неизвестно
Цена: 14484.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Metaheuristics for Logistics

Автор: Laurent Deroussi
Название: Metaheuristics for Logistics
ISBN: 1848218087 ISBN-13(EAN): 9781848218086
Издательство: Wiley
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Цена: 22010.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

This book describes the main classical combinatorial problems that can be encountered when designing a logistics network or driving a supply chain. It shows how these problems can be tackled by metaheuristics, both separately and using an integrated approach. A huge number of techniques, from the simplest to the most advanced ones, are given for helping the reader to implement efficient solutions that meet its needs.

A lot of books have been written about metaheuristics (methods for solving hard optimization problems) and supply chain management (the field in which we find a huge number of combinatorial optimization problems) in the last decades. So, the main reason of this book is to describe how these methods can be implemented for this class of problems.

Metaheuristics

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.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Metaheuristics for Production Systems

Автор: El-Ghazali Talbi; Farouk Yalaoui; Lionel Amodeo
Название: Metaheuristics for Production Systems
ISBN: 331979471X ISBN-13(EAN): 9783319794716
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Optimization using evolutionary algorithms and metaheuristics

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.
Наличие на складе: Поставка под заказ.

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.

Metaheuristics for Business Analytics

Автор: Abraham Duarte; Manuel Laguna; Rafael Marti
Название: Metaheuristics for Business Analytics
ISBN: 3319681176 ISBN-13(EAN): 9783319681177
Издательство: Springer
Рейтинг:
Цена: 7685.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Nature-Inspired Methods for Metaheuristics Optimization

Автор: Fouad Bennis; Rajib Kumar Bhattacharjya
Название: Nature-Inspired Methods for Metaheuristics Optimization
ISBN: 3030264572 ISBN-13(EAN): 9783030264574
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.
Advances in Metaheuristics for Hard Optimization

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.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Theory and Principled Methods for the Design of Metaheuristics

Автор: Yossi Borenstein; Alberto Moraglio
Название: Theory and Principled Methods for the Design of Metaheuristics
ISBN: 3662519550 ISBN-13(EAN): 9783662519554
Издательство: Springer
Рейтинг:
Цена: 11878.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.


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