Swarm intelligence :, Edited By Wellington Pinheiro dos Santos, Juliana
Автор: Shikha Agarwal Название: Swarm intelligence and machine learning : ISBN: 103214579X ISBN-13(EAN): 9781032145792 Издательство: Taylor&Francis Рейтинг: Цена: 153120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Adam Slowik Название: Swarm Intelligence Algorithms: A Tutorial ISBN: 1138384496 ISBN-13(EAN): 9781138384491 Издательство: Taylor&Francis Рейтинг: 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 Рейтинг: 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: Ying Tan; Hideyuki Takagi; Yuhui Shi Название: Advances in Swarm Intelligence ISBN: 3319618237 ISBN-13(EAN): 9783319618234 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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;
Автор: Vito Trianni Название: Evolutionary Swarm Robotics ISBN: 3642096352 ISBN-13(EAN): 9783642096358 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this book the use of ER techniques for the design of self-organising group behaviours, for both simulated and real robots is introduced.
Автор: Abbass Hussein a., Hunjet Robert A. Название: Shepherding Uxvs for Human-Swarm Teaming: An Artificial Intelligence Approach to Unmanned X Vehicles ISBN: 3030608972 ISBN-13(EAN): 9783030608972 Издательство: Springer Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: These smart shepherding agents are described with the techniques applicable to the control of Unmanned X Vehicles (UxVs) including air (unmanned aerial vehicles or UAVs), ground (unmanned ground vehicles or UGVs), underwater (unmanned underwater vehicles or UUVs), and on the surface of water (unmanned surface vehicles or USVs).
Автор: Kaipa Krishnanand N., Ghose Debasish Название: Glowworm Swarm Optimization: Theory, Algorithms, and Applications ISBN: 3319846949 ISBN-13(EAN): 9783319846941 Издательство: Springer Рейтинг: Цена: 93160.00 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.
Автор: Tan Ying, Shi Yuhui Название: Advances in Swarm Intelligence: 12th International Conference, Icsi 2021, Qingdao, China, July 17-21, 2021, Proceedings, Part I ISBN: 3030787427 ISBN-13(EAN): 9783030787424 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.
Автор: Osaba Название: Applied Optimization and Swarm Intelligence ISBN: 9811606641 ISBN-13(EAN): 9789811606649 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Carlos Coello Coello; Satchidananda Dehuri; Susmit Название: Swarm Intelligence for Multi-objective Problems in Data Mining ISBN: 3642036244 ISBN-13(EAN): 9783642036248 Издательство: Springer Рейтинг: Цена: 194730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining.
Автор: Leandro dos Santos Coelho Название: Multi-Objective Swarm Intelligent Systems ISBN: 3642051642 ISBN-13(EAN): 9783642051647 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book covers the latest in multi-objective swarm intelligence and cooperative behavior. It contains innovative and intriguing applications as well as additions to the methodology and theory of genetic programming.
Автор: Carlos Coello Coello; Satchidananda Dehuri; Susmit Название: Swarm Intelligence for Multi-objective Problems in Data Mining ISBN: 3642260535 ISBN-13(EAN): 9783642260537 Издательство: Springer Рейтинг: Цена: 194730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining.
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