Glowworm Swarm Optimization, Krishnanand N. Kaipa; Debasish Ghose
Автор: Siarry Название: Swarm Intelligence Based Optimization ISBN: 3319503065 ISBN-13(EAN): 9783319503066 Издательство: Springer Рейтинг: Цена: 5870.00 р. 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.
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: Micael Couceiro; Pedram Ghamisi Название: Fractional Order Darwinian Particle Swarm Optimization ISBN: 3319196340 ISBN-13(EAN): 9783319196343 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It compares the capabilities of some of the better-known bio-inspired optimization approaches, especially Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO) and the recently proposed Fractional Order Darwinian Particle Swarm Optimization (FODPSO), and comprehensively discusses their advantages and disadvantages.
Автор: Patrick Siarry; Lhassane Idoumghar; Julien Lepagno Название: Swarm Intelligence Based Optimization ISBN: 3319129694 ISBN-13(EAN): 9783319129693 Издательство: Springer Рейтинг: Цена: 6708.00 р. 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.
Описание: Recent Advances in Swarm Intelligence and Evolutionary Computation
Автор: Chee Peng Lim; Satchidananda Dehuri Название: Innovations in Swarm Intelligence ISBN: 3642042244 ISBN-13(EAN): 9783642042249 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent innovations in the field of swarm intelligence are presented in this comprehensive review. Various topics, such as ant colony optimization and complex social swarms are discussed, as well as swarm intelligence models and applications.
Описание: This book explores multidimensional particle swarm optimization, a technique developed by the authors and presented in a well-defined algorithmic approach. All featured applications are supported with fully documented source code as well as sample datasets.
Автор: Ivan Zelinka; Guanrong Chen Название: Evolutionary Algorithms, Swarm Dynamics and Complex Networks ISBN: 3662556618 ISBN-13(EAN): 9783662556610 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this book, based on many years of intensive research of the authors, is proposing novel ideas about advancing evolutionary dynamics towards new phenomena including many new topics, even the dynamics of equivalent social networks.
Автор: Veysel Gazi; Kevin M. Passino Название: Swarm Stability and Optimization ISBN: 3642422705 ISBN-13(EAN): 9783642422706 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Swarming species exhibit fascinating collective behaviors. Similarly, engineered multi-agent dynamic systems exhibit sophisticated collective behaviors while. In this book we show how to model and control a wide range of such multi-agent dynamic systems.
Автор: Dorigo Название: Swarm Intelligence ISBN: 3319444263 ISBN-13(EAN): 9783319444260 Издательство: Springer Рейтинг: Цена: 8106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 10th International Conference on Swarm Intelligence, ANTS 2016, held in Brussels, Belgium, in September 2016. The 18 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 47 submissions.
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.
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.
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