Advanced Multiresponse Process Optimisation: An Intelligent and Integrated Approach, Sibalija Tatjana V., Majstorovic Vidosav D.

Автор: Dao
Название: Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems
ISBN: 3319721127 ISBN-13(EAN): 9783319721125
Издательство: Springer
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Цена: 93160.00 T
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Описание: In turn, the genetic algorithm, characterised by an innovative algorithm structure, chromosome encoding, crossover and mutation, is capable of searching for optimal/suboptimal solutions to the complex optimisation problem in the VCIM production- scheduling model described.

Автор: Son Duy Dao
Название: Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems
ISBN: 3319891413 ISBN-13(EAN): 9783319891415
Издательство: Springer
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Цена: 93160.00 T
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Описание: This thesis reports on an innovative production-scheduling model for virtual computer-integrated manufacturing (VCIM) systems. It also describes a robust genetic algorithm for production scheduling in VCIM systems. The model, which is the most comprehensive of its kind to date, is not only capable of supporting collaborative shipment scheduling and handling multiple product orders simultaneously, but also helps cope with multiple objective functions under uncertainties. In turn, the genetic algorithm, characterised by an innovative algorithm structure, chromosome encoding, crossover and mutation, is capable of searching for optimal/suboptimal solutions to the complex optimisation problem in the VCIM production- scheduling model described. Lastly, the effectiveness of the proposed approach is verified in a comprehensive case study.

Автор: Tatjana V. ?ibalija; Vidosav D. Majstorovi?
Название: Advanced Multiresponse Process Optimisation
ISBN: 331919254X ISBN-13(EAN): 9783319192543
Издательство: Springer
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Цена: 113190.00 T
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Описание: In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them.

Автор: Duc Pham; D. Karaboga
Название: Intelligent Optimisation Techniques
ISBN: 1447111869 ISBN-13(EAN): 9781447111863
Издательство: Springer
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Цена: 102480.00 T
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Описание: This work gives a concise introduction to four important optimization techniques, presenting a range of applications drawn from electrical, manufacturing, mechanical, and systems engineering-such as the design of microstrip antennas, digital FIR filters, and fuzzy logic controllers.

Автор: Sudipto Chaki; Sujit Ghosal
Название: Modelling and Optimisation of Laser Assisted Oxygen (LASOX) Cutting: A Soft Computing Based Approach
ISBN: 3030049027 ISBN-13(EAN): 9783030049027
Издательство: Springer
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Цена: 51230.00 T
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Описание: This book presents the basics of the Laser Assisted Oxygen (LASOX) cutting process, its development, advantages and shortcomings, together with detailed information on the research work carried out to date regarding the modelling and optimization of the process. It introduces two integrated soft computing-based models consisting of Artificial Neural Networks (ANN-GA and ANN SA) for the modelling and optimization of LASOX cutting. It also includes an in-depth discussion on the basic working algorithms of soft computing tools such as Artificial Neural Networks, Genetic Algorithms, Simulated Annealing etc. The book not only provides an approach to optimizing LASOX by means of soft computing-based integrated models, but also illustrates the practical implementation of the proposed models.

Автор: Shahrzad Saremi; Seyedali Mirjalili
Название: Optimisation Algorithms for Hand Posture Estimation
ISBN: 9811397562 ISBN-13(EAN): 9789811397561
Издательство: Springer
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Цена: 79190.00 T
Наличие на складе: Поставка под заказ.
Описание: This book reviews the literature on hand posture estimation using generative methods, identifying the current gaps, such as sensitivity to hand shapes, sensitivity to a good initial posture, difficult hand posture recovery in cases of loss in tracking, and lack of addressing multiple objectives to maximize accuracy and minimize computational cost. To fill these gaps, it proposes a new 3D hand model that combines the best features of the current 3D hand models in the literature. It also discusses the development of a hand shape optimization technique. To find the global optimum for the single-objective problem formulated, it improves and applies particle swarm optimization (PSO), one of the most highly regarded optimization algorithms and one that is used successfully in both science and industry. After formulating the problem, multi-objective particle swarm optimization (MOPSO) is employed to estimate the Pareto optimal front as the solution for this bi-objective problem. The book also demonstrates the effectiveness of the improved PSO in hand posture recovery in cases of tracking loss. Lastly, the book examines the formulation of hand posture estimation as a bi-objective problem for the first time.

Автор: Anthony Brabazon; Se?n McGarraghy
Название: Foraging-Inspired Optimisation Algorithms
ISBN: 3030096408 ISBN-13(EAN): 9783030096403
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book is an introduction to relevant aspects of the foraging literature for algorithmic design, and an overview of key families of optimization algorithms that stem from a foraging metaphor. The authors first offer perspectives on foraging and foraging-inspired algorithms for optimization, they then explain the techniques inspired by the behaviors of vertebrates, invertebrates, and non-neuronal organisms, and they then discuss algorithms based on formal models of foraging, how to evolve a foraging strategy, and likely future developments.No prior knowledge of natural computing is assumed. This book will be of particular interest to graduate students, academics and practitioners in computer science, informatics, data science, management science, and other application domains.

Автор: Alexandre Dolgui; Jerzy Soldek; Oleg Zaikin
Название: Supply Chain Optimisation
ISBN: 1461498546 ISBN-13(EAN): 9781461498544
Издательство: Springer
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Цена: 153720.00 T
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Описание: It presents new approaches and methods based on operations research, artificial intelligence and advanced computing techniques for design of production systems, supply and inventory management, production planning and scheduling, location, transportation and logistics, and simulation in supply flow optimisation.

Автор: Roldбn Serrano Maria Isabel
Название: Concentrating Solar Thermal Technologies: Analysis and Optimisation by Cfd Modelling
ISBN: 3319833928 ISBN-13(EAN): 9783319833927
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book addresses the evaluation and optimization of key elements in concentrating solar thermal (CST) technologies, such as solar receivers and working fluids, using computational fluid dynamics (CFD) modeling.

Автор: Raymond Chiong
Название: Nature-Inspired Algorithms for Optimisation
ISBN: 3642101305 ISBN-13(EAN): 9783642101304
Издательство: Springer
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Цена: 243800.00 T
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Описание: Nature-inspired algorithms have become popular because many real-world optimization problems have become increasingly large, complex and dynamic. This book covers the latest algorithms and important studies for tackling various kinds of optimization problems.

Автор: Andrew Lewis; Sanaz Mostaghim; Marcus Randall
Название: Biologically-Inspired Optimisation Methods
ISBN: 3642101771 ISBN-13(EAN): 9783642101779
Издательство: Springer
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Цена: 174130.00 T
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Описание: This book covers the latest theories, applications and techniques in Biologically-Inspired Optimisation Methods. Many chapters derive from studies presented at workshops and international conferences on e-Science, Grid Computing and Evolutionary computation.

Автор: Jun Sun, Choi-Hong Lai, Xiao-Jun Wu
Название: Particle Swarm Optimisation: Classical and Quantum Perspectives
ISBN: 1439835764 ISBN-13(EAN): 9781439835760
Издательство: Taylor&Francis
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Цена: 183750.00 T
Наличие на складе: Нет в наличии.
Описание: Helping readers numerically solve optimization problems, this book focuses on the fundamental principles and applications of PSO and QPSO algorithms. The authors develop their novel QPSO algorithm, a PSO variant motivated from quantum mechanics, and show how to implement it in real-world applications, including inverse problems, digital filter d