Particle Swarm Optimisation: Classical and Quantum Perspectives, Jun Sun, Choi-Hong Lai, Xiao-Jun Wu

Автор: Andrew Lewis; Sanaz Mostaghim; Marcus Randall
Название: Biologically-Inspired Optimisation Methods
ISBN: 3642012612 ISBN-13(EAN): 9783642012617
Издательство: Springer
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Цена: 26122.00 р.
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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: Andrew Lewis; Sanaz Mostaghim; Marcus Randall
Название: Biologically-Inspired Optimisation Methods
ISBN: 3642101771 ISBN-13(EAN): 9783642101779
Издательство: Springer
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Цена: 26120.00 р.
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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: Raymond Chiong
Название: Nature-Inspired Algorithms for Optimisation
ISBN: 3642101305 ISBN-13(EAN): 9783642101304
Издательство: Springer
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Цена: 36570.00 р.
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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: Anthony Brabazon; Se?n McGarraghy
Название: Foraging-Inspired Optimisation Algorithms
ISBN: 331959155X ISBN-13(EAN): 9783319591551
Издательство: Springer
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Цена: 9781.00 р.
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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: Duc Pham; D. Karaboga
Название: Intelligent Optimisation Techniques
ISBN: 1447111869 ISBN-13(EAN): 9781447111863
Издательство: Springer
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Цена: 15372.00 р.
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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: 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: 13974.00 р.
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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: Tatjana V. ?ibalija; Vidosav D. Majstorovi?
Название: Advanced Multiresponse Process Optimisation
ISBN: 331919254X ISBN-13(EAN): 9783319192543
Издательство: Springer
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Цена: 16979.00 р.
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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: Serkan Kiranyaz; Turker Ince; Moncef Gabbouj
Название: Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition
ISBN: 3642437621 ISBN-13(EAN): 9783642437625
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book explores multidimensional particle swarm optimization, a technique developed by the authors and presented in a well-defined algorithmic approach. All featured applications are supported with fully documented source code as well as sample datasets.

Автор: Micael Couceiro; Pedram Ghamisi
Название: Fractional Order Darwinian Particle Swarm Optimization
ISBN: 3319196340 ISBN-13(EAN): 9783319196343
Издательство: Springer
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Цена: 9141.00 р.
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Описание: It compares the capabilities of some of the better-known bio-inspired optimization approaches, especially Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO) and the recently proposed Fractional Order Darwinian Particle Swarm Optimization (FODPSO), and comprehensively discusses their advantages and disadvantages.

Автор: Ying Tan; Yuhui Shi; Fernando Buarque; Alexander G
Название: Advances in Swarm and Computational Intelligence
ISBN: 3319204653 ISBN-13(EAN): 9783319204659
Издательство: Springer
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Цена: 11180.00 р.
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Описание: This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015.

Автор: Tan
Название: Advances in Swarm Intelligence
ISBN: 3319410083 ISBN-13(EAN): 9783319410081
Издательство: Springer
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Цена: 11460.00 р.
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Описание: This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016.

Автор: Tan
Название: Advances in Swarm Intelligence
ISBN: 3319409999 ISBN-13(EAN): 9783319409993
Издательство: Springer
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Цена: 11460.00 р.
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Описание: This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016.