Applied Optimization and Swarm Intelligence, Osaba Eneko, Yang Xin-She

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: Hoppe Mitch
Название: Swarm Intelligence: Theory and Applied Principles
ISBN: 163240480X ISBN-13(EAN): 9781632404800
Издательство: Неизвестно
Цена: 117960.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Автор: Tan
Название: Advances in Swarm Intelligence
ISBN: 3319938177 ISBN-13(EAN): 9783319938172
Издательство: Springer
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Цена: 46570.00 T
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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;

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
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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.

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.

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.

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.

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.

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.

Название: Swarm Intelligence: From Social Bacteria to Humans
ISBN: 0367137933 ISBN-13(EAN): 9780367137939
Издательство: Taylor&Francis
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Цена: 183750.00 T
Наличие на складе: Невозможна поставка.
Описание: The book analyzes new methodologies involved in studying swarm intelligence. It brings together computer scientists and cognitive scientists dealing with swarm patterns from social bacteria to human beings. Topics include swarm computing, soldier crabs computing, social insects computing, ad hoc and sensor wireless network, bio-molecular computing.

Автор: Tan Ying, Shi Yuhui
Название: Advances in Swarm Intelligence: 12th International Conference, Icsi 2021, Qingdao, China, July 17-21, 2021, Proceedings, Part II
ISBN: 3030788105 ISBN-13(EAN): 9783030788100
Издательство: Springer
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: his two-volume set LNCS 12689-12690 constitutes the refereed proceedings of the 12th International Conference on Advances in Swarm Intelligence, ICSI 2021, held in Qingdao, China, in July 2021. The 104 full papers presented in this volume were carefully reviewed and selected from 177 submissions.