Metaheuristics for Robotics, Hamouche Oulhadj, Boubaker Daachi, Riad Menasri

Название: Handbook of Approximation Algorithms and Metaheuristics
ISBN: 1498770150 ISBN-13(EAN): 9781498770156
Издательство: Taylor&Francis
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Цена: 433840.00 T
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Описание: This handbook reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation 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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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: Feyel
Название: Robust Control Optimization with Metaheuristics
ISBN: 1786300427 ISBN-13(EAN): 9781786300423
Издательство: Wiley
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Описание: In the automotive industry, a Control Engineer must design a unique control law that is then tested and validated on a single prototype with a level of reliability high enough to to meet a number of complex specifications on various systems.

Автор: Jourdan
Название: Metaheuristics for Big Data
ISBN: 1848218060 ISBN-13(EAN): 9781848218062
Издательство: Wiley
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Описание: Big Data is a new field, with many technological challenges to be understood in order to use it to its full potential. These challenges arise at all stages of working with Big Data, beginning with data generation and acquisition.

Автор: Durand
Название: Metaheuristics for Air Traffic Management
ISBN: 1848218109 ISBN-13(EAN): 9781848218109
Издательство: Wiley
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Описание: Air Traffic Management involves many different services such as Airspace Management, Air Traffic Flow Management and Air Traffic Control. Many optimization problems arise from these topics and they generally involve different kinds of variables, constraints, uncertainties. Metaheuristics are often good candidates to solve these problems.

Автор: Patrick Siarry
Название: Metaheuristics
ISBN: 3319454013 ISBN-13(EAN): 9783319454016
Издательство: Springer
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Цена: 130430.00 T
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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: Yang Xin-She, Gandomi Amir Hossein, Talatahari Siamak
Название: Metaheuristics in Water, Geotechnical and Transport Engineering
ISBN: 0323282601 ISBN-13(EAN): 9780323282604
Издательство: Elsevier Science
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Цена: 68490.00 T
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Описание: Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are often large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems. . . This book examines the latest developments of metaheuristics and their applications in water, geotechnical and transport engineering offering practical case studies as examples to demonstrate real world applications. Topics cover a range of areas within engineering, including reviews of optimization algorithms, artificial intelligence, cuckoo search, genetic programming, neural networks, multivariate adaptive regression, swarm intelligence, genetic algorithms, ant colony optimization, evolutionary multiobjective optimization with diverse applications in engineering such as behavior of materials, geotechnical design, flood control, water distribution and signal networks. This book can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheursitics, optimization in civil engineering and computational intelligence.

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: Christian Blum; Andrea Roli; Michael Sampels
Название: Hybrid Metaheuristics
ISBN: 3642096972 ISBN-13(EAN): 9783642096976
Издательство: Springer
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Цена: 130590.00 T
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Описание: Optimization problems are of great importance across a broad range of fields. This book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments.

Автор: Celso C. Ribeiro; Pierre Hansen
Название: Essays and Surveys in Metaheuristics
ISBN: 1461355885 ISBN-13(EAN): 9781461355885
Издательство: Springer
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Цена: 186330.00 T
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Описание: Tech- niques such as simulated annealing, tabu search, genetic algorithms, scatter search, greedy randomized adaptive search, variable neighborhood search, ant systems, and their hybrids are currently among the most efficient and robust optimization strategies to find high-quality solutions to many real-life optimiza- tion problems.

Автор: Mauricio G.C. Resende; J. Pinho de Sousa
Название: Metaheuristics
ISBN: 1441954031 ISBN-13(EAN): 9781441954039
Издательство: Springer
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Цена: 250630.00 T
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Описание: Combinatorial optimization is the process of finding the best, or optimal, so- lution for problems with a discrete set of feasible solutions. Applications arise in numerous settings involving operations management and logistics, such as routing, scheduling, packing, inventory and production management, lo- cation, logic, and assignment of resources. The economic impact of combi- natorial optimization is profound, affecting sectors as diverse as transporta- tion (airlines, trucking, rail, and shipping), forestry, manufacturing, logistics, aerospace, energy (electrical power, petroleum, and natural gas), telecommu- nications, biotechnology, financial services, and agriculture. While much progress has been made in finding exact (provably optimal) so- lutions to some combinatorial optimization problems, using techniques such as dynamic programming, cutting planes, and branch and cut methods, many hard combinatorial problems are still not solved exactly and require good heuristic methods. Moreover, reaching "optimal solutions" is in many cases meaningless, as in practice we are often dealing with models that are rough simplifications of reality. The aim of heuristic methods for combinatorial op- timization is to quickly produce good-quality solutions, without necessarily providing any guarantee of solution quality. Metaheuristics are high level procedures that coordinate simple heuristics, such as local search, to find solu- tions that are of better quality than those found by the simple heuristics alone: Modem metaheuristics include simulated annealing, genetic algorithms, tabu search, GRASP, scatter search, ant colony optimization, variable neighborhood search, and their hybrids.

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: 146730.00 T
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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.