Metaheuristic Procedures for Training Neural Networks, Enrique Alba; Rafael Mart?

Автор: Cesar Rego; Bahram Alidaee
Название: Metaheuristic Optimization via Memory and Evolution
ISBN: 144195483X ISBN-13(EAN): 9781441954831
Издательство: Springer
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Описание: Tabu Search (TS) and, more recently, Scatter Search (SS) have proved highly effective in solving a wide range of optimization problems, and have had a variety of applications in industry, science, and government.

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: 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: G?nther Z?pfel; Roland Braune; Michael B?gl
Название: Metaheuristic Search Concepts
ISBN: 3642113427 ISBN-13(EAN): 9783642113420
Издательство: Springer
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Цена: 20263.00 р.
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Описание: In many decision problems, e.g. For most such problems no ef?cient algorithm is known and classical approaches of Operations Research like Mixed Integer Linear Programming or Dynamic Pro gramming are often of limited use due to excessive computation time.

Автор: G?nther Z?pfel; Roland Braune; Michael B?gl
Название: Metaheuristic Search Concepts
ISBN: 3642425119 ISBN-13(EAN): 9783642425110
Издательство: Springer
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Цена: 20263.00 р.
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Описание: This book gives an introduction to metaheuristics for students and practitioners. The basic concepts are developed step-by-step from the bottom up using the knapsack problem, allowing readers to concentrate on the main ideas of metaheuristics.

Автор: A. Kaveh
Название: Advances in Metaheuristic Algorithms for Optimal Design of Structures
ISBN: 3319350625 ISBN-13(EAN): 9783319350622
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Many of these algorithms are developed by the author and his colleagues, consisting of Democratic Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization.

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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Цена: 14673.00 р.
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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: Maria J. Blesa; Christian Blum; Angelo Cangelosi;
Название: Hybrid Metaheuristics
ISBN: 3319396358 ISBN-13(EAN): 9783319396354
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the refereed proceedings of the 10th International Workshop on Hybrid Metaheuristics, HM 2016, held in Plymouth, UK, in June 2016. The 15 revised full papers presented were carefully reviewed and selected from 43 submissions.

Автор: Karl F. Doerner; Michel Gendreau; Peter Greistorfe
Название: Metaheuristics
ISBN: 0387719199 ISBN-13(EAN): 9780387719191
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Provides several different kinds of information: a delineation of general metaheuristics methods, many advanced articles from a variety of classical application areas as well as an outlook to modern computational methods in promising areas. This book is suitable for students, and for people who are interested in engineering or social sciences.

Автор: Toshihide Ibaraki; Koji Nonobe; Mutsunori Yagiura
Название: Metaheuristics:
ISBN: 1441937900 ISBN-13(EAN): 9781441937902
Издательство: Springer
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Цена: 21661.00 р.
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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.