Swarm Intelligence Algorithms: A Tutorial, Slowik Adam

Автор: Ying Tan
Название: GPU-based Parallel Implementation of Swarm Intelligence Algorithm
ISBN: 0128093625 ISBN-13(EAN): 9780128093627
Издательство: Elsevier Science
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Цена: 88690.00 T
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Описание: . GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention and applications: graphics processing units (GPUs) for general-purpose computing (GPGPU) and swarm intelligence. This book not only presents GPGPU in adequate detail, but also includes guidance on the appropriate implementation of swarm intelligence algorithms on the GPU platform. GPU-based implementations of several typical swarm intelligence algorithms such as PSO, FWA, GA, DE, and ACO are presented and having described the implementation details including parallel models, implementation considerations as well as performance metrics are discussed. Finally, several typical applications of GPU-based swarm intelligence algorithms are presented. This valuable reference book provides a unique perspective not possible by studying either GPGPU or swarm intelligence alone. . This book gives a complete and whole picture for interested readers and new comers who will find many implementation algorithms in the book suitable for immediate use in their projects. Additionally, some algorithms can also be used as a starting point for further research.

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.

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.

Автор: Bansal
Название: Evolutionary and Swarm Intelligence Algorithms
ISBN: 3319913395 ISBN-13(EAN): 9783319913391
Издательство: Springer
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Цена: 121110.00 T
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Описание: The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems.

Автор: Slowik Adam
Название: Swarm Intelligence Algorithms: Modifications and Applications
ISBN: 0367528886 ISBN-13(EAN): 9780367528881
Издательство: Taylor&Francis
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Цена: 51030.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Название: Swarm Intelligence Algorithms (Two Volume Set)
ISBN: 0367023458 ISBN-13(EAN): 9780367023454
Издательство: Taylor&Francis
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Цена: 224570.00 T
Наличие на складе: Невозможна поставка.
Описание: This set of two books can provides the basics for understanding how swarm intelligence algorithms work, together with their modifications and practical applications. It is useful for students studying the basics of nature-based optimization algorithms, and can be a helpful for learning to solve a selected practical problem.

Название: Swarm intelligence and evolutionary algorithms in healthcare and drug development
ISBN: 0367257572 ISBN-13(EAN): 9780367257576
Издательство: Taylor&Francis
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Цена: 80630.00 T
Наличие на складе: Нет в наличии.
Описание: The book is intended towards graduates and postgraduates information technology and computer science. It will be beneficial for healthcare professionals in the area of biotechnology, general medicine and pharmacy.

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.

Автор: Ying Tan
Название: Handbook of Research on Fireworks Algorithms and Swarm Intelligence
ISBN: 1799816591 ISBN-13(EAN): 9781799816591
Издательство: Mare Nostrum (Eurospan)
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Цена: 264270.00 T
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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.

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.

Автор: Shi Cheng, Yuhui Shi
Название: Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems
ISBN: 1799832228 ISBN-13(EAN): 9781799832225
Издательство: Mare Nostrum (Eurospan)
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Цена: 264270.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The use of optimization algorithms has seen an emergence in various professional fields due to its ability to process data and information in an efficient and productive manner. Combining computational intelligence with these algorithms has created a trending subject of research on how much more beneficial intelligent-inspired algorithms can be within companies and organizations. As modern theories and applications are continually being developed in this area, professionals are in need of current research on how intelligent algorithms are advancing in the real world.

The Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems is a pivotal reference source that provides vital research on the development of swarm intelligence algorithms and their implementation into current issues. While highlighting topics such as multi-agent systems, bio-inspired computing, and evolutionary programming, this publication explores various concepts and theories of swarm intelligence and outlines future directions of development. This book is ideally designed for IT specialists, researchers, academicians, engineers, developers, practitioners, and students seeking current research on the real-world applications of intelligent algorithms.

Автор: Patrick Siarry; Lhassane Idoumghar; Julien Lepagno
Название: Swarm Intelligence Based Optimization
ISBN: 3319129694 ISBN-13(EAN): 9783319129693
Издательство: Springer
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Цена: 44720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.