Nature Inspired Cooperative Strategies for Optimization (NICSO 2008), Natalio Krasnogor; Bel?n Meli?n-Batista; Jos? A. M
Автор: Natalio Krasnogor; Bel?n Meli?n-Batista; Jos? A. M Название: Nature Inspired Cooperative Strategies for Optimization (NICSO 2008) ISBN: 3642032109 ISBN-13(EAN): 9783642032103 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As in these two previous editions, the aim of NICSO 2008, held in Tenerife, Spain, was to provide a forum where the latest ideas and state- of-the-art research related to nature inspired cooperative strategies for problem solving were discussed.
Автор: Natalio Krasnogor; Vincenzo Nicosia; Mario Pavone; Название: Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) ISBN: 3642097790 ISBN-13(EAN): 9783642097799 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The aim of NICSO 2007 was to provide a forum where the latest ideas and state-of-the-art research related to cooperative strategies for problem solving arising from Nature could be discussed. The contributions collected here were strictly peer reviewed.
Автор: Carlos Cruz; Juan R. Gonz?lez; Natalio Krasnogor; Название: Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) ISBN: 3642263070 ISBN-13(EAN): 9783642263071 Издательство: Springer Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Metabolic Subsumption Architecture for Cooperative Control of the e-Puck.- Social Target Localization in a Population of Foragers.- Using Knowledge Discovery in Cooperative Strategies: Two Case Studies.- Hybrid Cooperation Models for the Tool Switching Problem.- Fault Diagnosis in Industrial Systems Using Bioinspired Cooperative Strategies.- A New Metaheuristic Bat-Inspired Algorithm.- Evaluation of a Catalytic Search Algorithm.- Discovering Beneficial Cooperative Structures for the Automated Construction of Heuristics.- Eagle Strategy Using Lйvy Walk and Firefly Algorithms for Stochastic Optimization.- CO2RBFN for Short and Medium Term Forecasting of the Extra-Virgin Olive Oil Price.- 3D Cell Pattern Generation in Artificial Development.- Partial Imitation Rule in Iterated Prisoner Dilemma Game on a Square Lattice.- A Dynamical Game Model for Sustainable Development.- Studying the Influence of the Objective Balancing Parameter in the Performance of a Multi-Objective Ant Colony Optimization Algorithm.- HC12: Highly Scalable Optimisation Algorithm.- Adaptive Evolutionary Testing: An Adaptive Approach to Search-Based Test Case Generation for Object-Oriented Software.- Evolutionary Algorithms for Planar MEMS Design Optimisation: A Comparative Study.- A Distributed Service Oriented Framework for Metaheuristics Using a Public Standard.- Cellular Genetic Algorithm on Graphic Processing Units.- Evolutionary Approaches to Joint Nash - Pareto Equilibria.- Accelerated Genetic Algorithms with Markov Chains.- Adapting Heuristic Mastermind Strategies to Evolutionary Algorithms.- Structural Versus Evaluation Based Solutions Similarity in Genetic Programming Based System Identification.- Artificial Bee Colony Optimization: A New Selection Scheme and Its Performance.- A Heuristic-Based Bee Colony Algorithm for the Multiprocessor Scheduling Problem.- A Bumble Bees Mating Optimization Algorithm for Global Unconstrained Optimization Problems.- A Neural-Endocrine Architecture for Foraging in Swarm Robotic Systems.- Using Entropy for Evaluating Swarm Intelligence Algorithms.- Empirical Study of Performance of Particle Swarm Optimization Algorithms Using Grid Computing.- Using PSO and RST to Predict the Resistant Capacity of Connections in Composite Structures.- Improvement Strategies for Multi-swarm PSO in Dynamic Environments.- Particle Swarm Optimization Based Tuning of Genetic Programming Evolved Classifier Expressions.
Автор: Michael J. Hirsch; Clayton Commander; Panos M. Par Название: Optimization and cooperative control strategies ISBN: 3540880623 ISBN-13(EAN): 9783540880622 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cooperative, collaborating autonomous systems are at the forefront of research efforts in numerous disciplines across the applied sciences. This work presents research, which is suitable for faculty, graduate students, and industrial researchers in the fields of optimization, control theory, electrical engineering, computer science, and robotics.
Название: Advances in cooperative control and optimization ISBN: 3540743545 ISBN-13(EAN): 9783540743545 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the Seventh Annual International Conference on Cooperative Control and Optimization, held in Gainesville, Florida, January 31 - February 2, 2007. This work is suitable for faculty, graduate students, and industrial researchers in the fields of optimization, control theory, electrical engineering, computer science and mathematics.
In the field of image processing, many applications require real-time execution, particularly those in the domains of medicine, robotics and transmission, to name but a few. Recent technological developments have allowed for the integration of more complex algorithms with large data volume into embedded systems, in turn producing a series of new sophisticated electronic architectures at affordable prices. This book performs an in-depth survey on this topic. It is primarily written for those who are familiar with the basics of image processing and want to implement the target processing design using different electronic platforms for computing acceleration. The authors present techniques and approaches, step by step, through illustrative examples. This book is also suitable for electronics/embedded systems engineers who want to consider image processing applications as sufficient imaging algorithm details are given to facilitate their understanding.
Автор: Pardo Название: The Evaluation and Optimization of Trading Strategies 2e ISBN: 0470128011 ISBN-13(EAN): 9780470128015 Издательство: Wiley Рейтинг: Цена: 13306.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With all of the changes in communications, technology, and trading styles, a thorough and comprehensive working knowledge of how to properly design and test strategies has never been more important than it has become in today`s extremely competitive markets.
Автор: Carlos Cruz; Juan R. Gonz?lez; Natalio Krasnogor; Название: Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) ISBN: 3642125379 ISBN-13(EAN): 9783642125379 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cover topics including nature-inspired techniques like Genetic Algorithms, Evolutionary Algorithms, Ant and Bee Colonies, Swarm Intelligence approaches, Neural Networks, several Cooperation Models, Structures and Strategies, Agents Models, Social Interactions, as well as fresh algorithms based on the behaviour of fireflies or bats.
Автор: David Alejandro Pelta; Natalio Krasnogor; Dan Dumi Название: Nature Inspired Cooperative Strategies for Optimization (NICSO 2011) ISBN: 3642269915 ISBN-13(EAN): 9783642269912 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the latest ideas and techniques in nature inspired cooperative strategies, covering swarm intelligence; genetic algorithms; coevolution and cooperation; evolutionary design; hybrid algorithms and membrane computing (P-Systems) and more.
Автор: Yang Xin She Название: Nature-Inspired Optimization Algorithms ISBN: 0128100605 ISBN-13(EAN): 9780128100608 Издательство: Elsevier Science Рейтинг: Цена: 12462.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference.
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