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Handbook of Research on Fireworks Algorithms and Swarm Intelligence, Ying Tan


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Автор: Ying Tan
Название:  Handbook of Research on Fireworks Algorithms and Swarm Intelligence
Перевод названия: Тан Йинг: Справочник по исследованию алгоритмов фейерверков и интеллекта роя
ISBN: 9781799816591
Издательство: Mare Nostrum (Eurospan)
Классификация:



ISBN-10: 1799816591
Обложка/Формат: Hardback
Страницы: 400
Вес: 1.43 кг.
Дата издания: 30.04.2020
Серия: Computing & IT
Язык: English
Размер: 262 x 362 x 15
Читательская аудитория: Professional and scholarly
Ключевые слова: Algorithms & data structures,Artificial intelligence,Computer programming / software development,Information technology: general issues, COMPUTERS / General,COMPUTERS / Intelligence (AI) & Semantics,COMPUTERS / Programming / Algorithms
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Поставляется из: Англии
Описание: In recent years, swarm intelligence has become a popular computational approach among researchers working on optimization problems throughout the globe. Several algorithms inside swarm intelligence have been implemented due to their application to real-world issues and other advantages. A specific procedure, Fireworks Algorithm, is an emerging method that studies the explosion process of fireworks within local areas. Applications of this developing program are undiscovered, and research is necessary for scientists to fully understand the workings of this innovative system.

The Handbook of Research on Fireworks Algorithms and Swarm Intelligence is a pivotal reference source that provides vital research on theory analysis, improvements, and applications of fireworks algorithm. While highlighting topics such as convergence rate, parameter applications, and global optimization analysis, this publication explores up-to-date progress on the specific techniques of this algorithm. This book is ideally designed for researchers, data scientists, mathematicians, engineers, software developers, postgraduates, and academicians seeking coverage on this evolutionary computation method.


Handbook Of Research On Swarm Intelligence In Engineering

Автор: Bhattacharyya & Dutta
Название: Handbook Of Research On Swarm Intelligence In Engineering
ISBN: 1466682914 ISBN-13(EAN): 9781466682917
Издательство: Mare Nostrum (Eurospan)
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Цена: 325250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Swarm Intelligence has recently emerged as a next-generation methodology belonging to the class of evolutionary computing. As a result, scientists have been able to explain and understand real-life processes and practices that previously remained unexplored.The Handbook of Research on Swarm Intelligence in Engineering presents the latest research being conducted on diverse topics in intelligence technologies such as Swarm Intelligence, Machine Intelligence, Optical Engineering, and Signal Processing with the goal of advancing knowledge and applications in this rapidly evolving field. The enriched interdisciplinary contents of this book will be a subject of interest to the widest forum of faculties, existing research communities, and new research aspirants from a multitude of disciplines and trades.

Fireworks Algorithm

Автор: Ying Tan
Название: Fireworks Algorithm
ISBN: 3662463520 ISBN-13(EAN): 9783662463529
Издательство: Springer
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Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Fireworks Algorithm

Автор: Ying Tan
Название: Fireworks Algorithm
ISBN: 3662516187 ISBN-13(EAN): 9783662516188
Издательство: Springer
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Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Handbook of Swarm Intelligence

Автор: Bijaya Ketan Panigrahi; Yuhui Shi; Meng-Hiot Lim
Название: Handbook of Swarm Intelligence
ISBN: 3642266894 ISBN-13(EAN): 9783642266898
Издательство: Springer
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Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent work on the behavior of swarming creatures such as bees posits an innate collective intelligence that gives rise to myriad computational problem-solving techniques. This volume is both an introduction to the topic and a survey of leading-edge research.

Recent Advances in Swarm Intelligence and Evolutionary Computation

Автор: Xin-She Yang
Название: Recent Advances in Swarm Intelligence and Evolutionary Computation
ISBN: 331935681X ISBN-13(EAN): 9783319356815
Издательство: Springer
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Цена: 104480.00 T
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Описание:

Swarm Intelligence and Evolutionary Computation: Overview and Analysis.- Globally convergent hybridization of particle swarm optimization using line search-based derivative-free techniques Fireflies in the Fruits and Vegetables: Combining the Firefly Algorithm with Goal Programming for Setting Optimal Osmotic Dehydration Parameters of Produce.- Hybrid Metaheuristic Algorithms: Past, Present and Future.- Binary Flower Pollination Algorithm and Its Application to Feature Selection.- Bat Algorithm Application for the Single Row Facility Layout Problem.- Discrete Cuckoo Search Applied to Job Shop Scheduling Problem.- Cuckoo Search and Bat Algorithm Applied to Training Feed-Forward Neural Networks.- The Potential of the Firefly Algorithm for Damage Localization and Stiffness Identification.- Synthesizing Cross-Ambiguity Functions Using An Improved Bat Algorithm.- Sustainable Building Design: A Review on Recent Metaheuristic Methods.- Firefly Algorithm for Flow Shop Optimization.- Evaluation of Harmony Search and Differential Evolution Optimization Algorithms on Solving the Booster Station Optimization Problems in Water Distribution Networks.- Web Document Clustering by Using PSO-Based Cuckoo Search Clustering Algorithm.- Analysis of Trusses Using Particle Swarm Optimization.


Advances in Swarm Intelligence

Автор: Ying Tan; Hideyuki Takagi; Yuhui Shi
Название: Advances in Swarm Intelligence
ISBN: 3319618237 ISBN-13(EAN): 9783319618234
Издательство: Springer
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Цена: 83850.00 T
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Описание: The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Confrence on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. novel swarm-based optimization algorithms; applications of particle swarm optimization; hybrid optimization algorithms and applications;

Recent Advances in Swarm Intelligence and Evolutionary Computation

Автор: Xin-She Yang
Название: Recent Advances in Swarm Intelligence and Evolutionary Computation
ISBN: 3319138251 ISBN-13(EAN): 9783319138251
Издательство: Springer
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Цена: 121110.00 T
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Описание: Recent Advances in Swarm Intelligence and Evolutionary Computation

Advances in Swarm Intelligence

Автор: Tan
Название: Advances in Swarm Intelligence
ISBN: 3319938177 ISBN-13(EAN): 9783319938172
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The two-volume set of LNCS 10941 and 10942 constitutes the proceedings of the 9th International Conference on Advances in Swarm Intelligence, ICSI 2018, held in Shanghai, China, in June 2018. ant colony optimization; particle swarm optimization; other swarm-based optimization algorithms; hybrid optimization algorithms;

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.

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.

Swarm Intelligence Algorithms: A Tutorial

Автор: Adam Slowik
Название: Swarm Intelligence Algorithms: A Tutorial
ISBN: 1138384496 ISBN-13(EAN): 9781138384491
Издательство: Taylor&Francis
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Цена: 148010.00 T
Наличие на складе: Невозможна поставка.
Описание: This book can provide the basics for understanding how swarm intelligence algorithms work, and aid readers in programming these algorithms to solve various computational problems. It is useful for students studying nature-based optimization algorithms, and can be a helpful for learning the basics of these algorithms efficiently.

Swarm Intelligence Algorithms: Modifications and Applications

Автор: Adam Slowik
Название: Swarm Intelligence Algorithms: Modifications and Applications
ISBN: 1138391018 ISBN-13(EAN): 9781138391017
Издательство: Taylor&Francis
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Цена: 132710.00 T
Наличие на складе: Невозможна поставка.
Описание: This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem.


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