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: 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.
Автор: Satchidananda Dehuri; Alok Kumar Jagadev; Mrutyunj Название: Multi-objective Swarm Intelligence ISBN: 3662463083 ISBN-13(EAN): 9783662463086 Издательство: Springer Рейтинг: Цена: 130610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis.
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 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.
Автор: Bhattacharyya & Dutta Название: Handbook Of Research On Swarm Intelligence In Engineering ISBN: 1466682914 ISBN-13(EAN): 9781466682917 Издательство: Mare Nostrum (Eurospan) Рейтинг: 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.
Автор: Ying Tan; Yuhui Shi; Fernando Buarque; Alexander G Название: Advances in Swarm and Computational Intelligence ISBN: 3319204718 ISBN-13(EAN): 9783319204710 Издательство: Springer Рейтинг: Цена: 59630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015.
Автор: Siarry Название: Swarm Intelligence Based Optimization ISBN: 3319503065 ISBN-13(EAN): 9783319503066 Издательство: Springer Рейтинг: Цена: 39130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Christian Blum; Daniel Merkle Название: Swarm Intelligence ISBN: 3642093434 ISBN-13(EAN): 9783642093432 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book`s contributing authors are among the top researchers in swarm intelligence. Introductory chapters deal with the biological foundations, optimization, swarm robotics, and applications in new-generation telecommunication networks, while the second part contains chapters on more specific topics of swarm intelligence research.
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: Ying Tan; Yuhui Shi; Fernando Buarque; Alexander G Название: Advances in Swarm and Computational Intelligence ISBN: 3319204653 ISBN-13(EAN): 9783319204659 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book and its companion volumes, LNCS volumes 9140, 9141 and 9142, constitute the proceedings of the 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China in June 2015.
Автор: John Oyekan Название: Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence ISBN: 3319274236 ISBN-13(EAN): 9783319274232 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book discusses new algorithms capable ofsearching for, tracking, mapping and providing a visualization of invisiblesubstances. The book also discusses how a computationally tractable multi-agentrobotic controller was developed and used to track as well as provide a visualmap of a spatio-temporal distribution of a substance.
Автор: Tan Название: Advances in Swarm Intelligence ISBN: 3319410083 ISBN-13(EAN): 9783319410081 Издательство: Springer Рейтинг: Цена: 76400.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016.
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