Applied Optimization and Swarm Intelligence, Osaba

Автор: Shikha Agarwal
Название: Swarm intelligence and machine learning :
ISBN: 103214579X ISBN-13(EAN): 9781032145792
Издательство: Taylor&Francis
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Цена: 22968.00 р.
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Описание: It will help future research be done in healthcare. It also explores the recent progress in several computing technologies and evaluates the performance based on today`s betterment compared to previous development in the technology.

Автор: Altshuler, Yaniv
Название: Applied Swarm Intelligence
ISBN: 0367226871 ISBN-13(EAN): 9780367226879
Издательство: Taylor&Francis
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Цена: 19906.00 р.
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Автор: Hoppe Mitch
Название: Swarm Intelligence: Theory and Applied Principles
ISBN: 163240480X ISBN-13(EAN): 9781632404800
Издательство: Неизвестно
Цена: 17694.00 р.
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Автор: Sharma Abhishek, Sharma Abhinav, Pandey Jitendra Kumar
Название: Swarm Intelligence: Foundation, Principles, and Engineering Applications
ISBN: 0367546612 ISBN-13(EAN): 9780367546618
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: Swarm intelligence is one of the fastest-growing sub-fields of artificial intelligence and soft computing. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in engineering sciences to learn theories from nature and incorporate them.

Название: Swarm Intelligent Systems
ISBN: 3642070418 ISBN-13(EAN): 9783642070419
Издательство: Springer
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Цена: 19589.00 р.
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Описание: In general, multi-agent systems that use swarm intelligence are said to be swarm intelligent systems. This volume reviews innovative methodologies of swarm intelligence, outlines the foundations of engineering swarm intelligent systems and applications, and relates experiences using the particle swarm optimisation.

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: Osaba Eneko, Yang Xin-She
Название: Applied Optimization and Swarm Intelligence
ISBN: 9811606617 ISBN-13(EAN): 9789811606618
Издательство: Springer
Цена: 25155.00 р.
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Описание: This book gravitates on the prominent theories and recent developments of swarm intelligence methods, and their application in both synthetic and real-world optimization problems.

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
Название: Fireworks Algorithm
ISBN: 3662463520 ISBN-13(EAN): 9783662463529
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book is devoted to the state-of-the-art in all aspects of fireworks algorithm (FWA), with particular emphasis on the efficient improved versions of FWA.

Автор: Kaipa Krishnanand N., Ghose Debasish
Название: Glowworm Swarm Optimization: Theory, Algorithms, and Applications
ISBN: 3319846949 ISBN-13(EAN): 9783319846941
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book provides a comprehensive account of the glowworm swarm optimization (GSO) algorithm, including details of the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs for the basic GSO algorithm.

Автор: Shi
Название: Emerging Research On Swarm Intelligence And Algorithm Optimization
ISBN: 1466663286 ISBN-13(EAN): 9781466663282
Издательство: Mare Nostrum (Eurospan)
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Цена: 32848.00 р.
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Описание: Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence.>Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.

Автор: Okwu Modestus O., Tartibu Lagouge K.
Название: Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications
ISBN: 3030611132 ISBN-13(EAN): 9783030611132
Издательство: Springer
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Цена: 20962.00 р.
Наличие на складе: Нет в наличии.

Описание: Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm, whale optimization algorithm, firefly algorithm, bat algorithm, ant lion optimization algorithm, grasshopper optimization algorithm, butterfly optimization algorithm and others.