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Glowworm Swarm Optimization: Theory, Algorithms, and Applications, Kaipa Krishnanand N., Ghose Debasish


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Автор: Kaipa Krishnanand N., Ghose Debasish
Название:  Glowworm Swarm Optimization: Theory, Algorithms, and Applications
ISBN: 9783319846941
Издательство: Springer
Классификация:

ISBN-10: 3319846949
Обложка/Формат: Paperback
Страницы: 248
Вес: 0.39 кг.
Дата издания: 13.07.2018
Серия: Studies in computational intelligence
Язык: English
Издание: Softcover reprint of
Иллюстрации: 122 illustrations, black and white; xxvi, 248 p. 122 illus.
Размер: 23.39 x 15.60 x 1.47 cm
Читательская аудитория: General (us: trade)
Подзаголовок: Theory, algorithms, and applications
Ссылка на Издательство: Link
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Поставляется из: Германии
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.

Glowworm Swarm Optimization

Автор: Krishnanand N. Kaipa; Debasish Ghose
Название: Glowworm Swarm Optimization
ISBN: 3319515942 ISBN-13(EAN): 9783319515946
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Emerging Research On Swarm Intelligence And Algorithm Optimization

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: 218990.00 T
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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.

Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications

Автор: Okwu Modestus O., Tartibu Lagouge K.
Название: Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications
ISBN: 3030611108 ISBN-13(EAN): 9783030611101
Издательство: Springer
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Swarm Intelligence Optimization: Algorithms and Applications

Автор: Kumar Abhishek, Rathore Pramod Singh, Diaz Vicente Garcia
Название: Swarm Intelligence Optimization: Algorithms and Applications
ISBN: 1119778743 ISBN-13(EAN): 9781119778745
Издательство: Wiley
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Цена: 193190.00 T
Наличие на складе: Поставка под заказ.
Описание:

Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.


New Advancements in Swarm Algorithms: Operators and Applications

Автор: Erik Cuevas; Fernando Fausto; Adri?n Gonz?lez
Название: New Advancements in Swarm Algorithms: Operators and Applications
ISBN: 3030163385 ISBN-13(EAN): 9783030163389
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineers and practitioners solve their own optimization problems.

Recent Algorithms and Applications in Swarm Intelligence Research

Автор: Yuhui Shi
Название: Recent Algorithms and Applications in Swarm Intelligence Research
ISBN: 1466624795 ISBN-13(EAN): 9781466624795
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: Advances in the nature-inspired swarm intelligence algorithms continue to be useful in solving complicated problems in nonlinear, non-differentiable, and un-continuous functions, as well as being applied to solve real-world applications. This title highlights the current research on swarm intelligence algorithms and its applications.

Theory & New Applications of Swarm Intelligence

Автор: Bilroy Muller
Название: Theory & New Applications of Swarm Intelligence
ISBN: 168117586X ISBN-13(EAN): 9781681175867
Издательство: Gazelle Book Services
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Цена: 230210.00 T
Наличие на складе: Невозможна поставка.
Описание: A single ant or bee is not smart, but their colonies are. The study of swarm intelligence is providing insights that can help humans manage complex systems, from truck routing to military robots. A colony can solve problems unthinkable for individual ants, such as finding the shortest path to the best food source, allocating workers to different tasks, or defending a territory from neighbours. As individuals, ants might be tiny dummies, but as colonies they respond quickly and effectively to their environment. They do it with something called swarm intelligence. Swarm intelligence is the discipline that deals with natural and artificial systems composed of many individuals that coordinate using decentralised control and self-organisation. In particular, the discipline focuses on the collective behaviours that result from the local interactions of the individuals with each other and with their environment. Swarm intelligence has a marked multidisciplinary character since systems with the above mentioned characteristics can be observed in a variety of domains. SI systems are typically made up of a population of simple agents interacting locally with one another and with their environment. The inspiration often comes from nature, especially biological systems. The agents follow very simple rules, and although there is no centralised control structure dictating how individual agents should behave, local, and to a certain degree random, interactions between such agents lead to the emergence of intelligent global behaviour, unknown to the individual agents. This book allows the reader to know more both theoretical and technical aspects and applications of Swarm Intelligence that reflect the emerging trends in state-of-the-art algorithms. Hence, the book presents some recent advances on Swarm Intelligence, especially on new swarm-based optimisation methods and hybrid algorithms for several applications.

Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition

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: 102480.00 T
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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.

Swarm Intelligence Based Optimization

Автор: Patrick Siarry; Lhassane Idoumghar; Julien Lepagno
Название: Swarm Intelligence Based Optimization
ISBN: 3319129694 ISBN-13(EAN): 9783319129693
Издательство: Springer
Рейтинг:
Цена: 44720.00 T
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Описание:

Combining PSO and FCM for Dynamic Fuzzy Clustering Problems.- Metaheuristics for solving a hybrid flexible flowshop problem with sequence-dependent setup times.- Using Particle Swarm Optimization Method to Invert Active Surface Waves.- A Fuzzy-Controlled Comprehensive Learning Particle Swarm Optimizer.- Fuzzy Logic Control Optimized by Artificial Immune System for Building Thermal Condition.- Smooth trajectory planning for robot using particle swarm optimization.- Multi-level parallelization for hybrid ACO.- Parallel and Distributed Implementation Models for Bio-inspired Optimization Algorithms.- Using bio-inspired algorithm to compensate web page color contrast for dichromat users.- Comparison of two swarm intelligence optimization algorithms on the textual color problem for web accessibility.- How Much Forcing is Necessary to Let the Results of Particle Swarms Converge?.- The use of ontology in semantic analysis of the published learners messages for adaptability.- A Hybrid PSO Applied to the Flexible Job Shop with Transport.- Multiple Mobile Target Tracking in Wireless Sensor Networks.- Swarm projects: beyond the metaphor.- An enhanced Particle Swarm Optimisation algorithm combined with Neural Networks to decrease computational time.- Robust Multi-Agent Patrolling Strategies using Reinforcement Learning.- BSG-Starcraft Radius improvements of Particle Swarm Optimization.- Algorithm: an application to Ceramic Matrix Composites.- An Efficient ACO-SA Hybrid Metaheuristic for the Synchronization of Single Frequency Networks in Broadcasting.- Floods Trajectories Modeling and Dynamic Relief Planning: A Bees Foraging Approach.


Innovations and Developments of Swarm Intelligence Applications

Автор: Yuhui Shi
Название: Innovations and Developments of Swarm Intelligence Applications
ISBN: 1466615923 ISBN-13(EAN): 9781466615922
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 189420.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explores the emerging realm of swarm intelligence, which finds its basis in the natural social behaviour of animals. The study and application of this swarm behaviour has led scientists to a new world of research as ways are found to apply this behaviour to independent intelligent agents, creating complex solutions for real world applications.

Swarm Intelligence Based Optimization

Автор: Siarry
Название: Swarm Intelligence Based Optimization
ISBN: 3319503065 ISBN-13(EAN): 9783319503066
Издательство: Springer
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Цена: 39130.00 T
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016.

Critical Developments and Applications of Swarm Intelligence

Автор: Yuhui Shi
Название: Critical Developments and Applications of Swarm Intelligence
ISBN: 1522551344 ISBN-13(EAN): 9781522551348
Издательство: Mare Nostrum (Eurospan)
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Цена: 196460.00 T
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Описание: Artificial intelligence is a constantly advancing field that requires models in order to accurately create functional systems. The use of natural acumen to create artificial intelligence creates a field of research in which the natural and the artificial meet in a new and innovative way. Critical Developments and Applications of Swarm Intelligence is a critical academic publication that examines developing research, technologies, and function regarding natural and artificial acumen specifically, in regards to self-organized systems. Featuring coverage on a broad range of topics such as evolutionary algorithms, optimization techniques, and computational comparison, this book is geared toward academicians, students, researchers, and engineers seeking relevant and current research on the progressive research based on the implementation of swarm intelligence in self-organized systems.


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