Автор: Abascal Macarena Название: Wood and Iron: Industrial Interiors ISBN: 8499360947 ISBN-13(EAN): 9788499360942 Издательство: Marston Book Services Рейтинг: Цена: 46200.00 T Наличие на складе: Поставка под заказ. Описание: Industrial style has become one of the most influential interior design trends of recent years. The aesthetic was born out of the second industrial revolution, when dramatic developments in industry and the availability of new materials transformed manufacturing all the way down to furniture and housewares. The birth of loft living in working class neighborhoods around the United States re-popularized the style, sparking a newfound interest in the aesthetic and elevating classic pieces to icons of modern design. This book is intended to be a source of inspiration and guidance for those making a foray into the world of industrial style. It presents the most influential names in the genre and their interior design projects, which include features from custom elements to anonymous pieces salvaged from thrift stores.
Автор: Belleflamme Название: Industrial Organization ISBN: 1107687896 ISBN-13(EAN): 9781107687899 Издательство: Cambridge Academ Рейтинг: Цена: 53850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Thoroughly revised according to classroom feedback, this comprehensive textbook provides an up-to-date account of modern industrial organization that blends theory with numerous real-world applications. Formal models are presented in detail, and the main results are summarized in `lessons` which highlight the main insights.
Автор: Timothy Ganesan Название: Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities ISBN: 1799817113 ISBN-13(EAN): 9781799817116 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 146910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The increased complexity of the economy in recent years has led to the advancement of energy generation systems. Engineers in this industrial sector have been compelled to seek contemporary methods to keep pace with the rapid development of these systems. Computational intelligence has risen as a capable method that can effectively resolve complex scenarios within the power generation sector. In-depth research on the various applications of this technology is lacking, as engineering professionals need up-to-date information on how to successfully utilize computational intelligence in industrial systems. Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of the application of intelligent optimization techniques within industrial energy systems. Featuring coverage on a broad range of topics such as swarm intelligence, renewable energy, and predictive modeling, this book is ideally designed for industrialists, engineers, industry professionals, researchers, students, and academics seeking current research on computational intelligence frameworks within the power generation sector.
Автор: Xin-She Yang Название: Nature-Inspired Algorithms and Applied Optimization ISBN: 3319676687 ISBN-13(EAN): 9783319676685 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Mathematical Analysis of Nature-Inspired Algorithms.- A Review of No Free Lunch Theorems, and their Implications for Metaheuristic Optimisation.- Global Convergence Analysis of Cuckoo Search Using Markov Theory.- On Effeciently Solving the Vehicle Routing Problem with Time Windows Using the Bat Algorithm.- Variants of the Flower Pollination Algorithm: A Review.
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: 186330.00 T 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: 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: 204040.00 T 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; Bel?n Meli?n-Batista; Jos? A. M Название: Nature Inspired Cooperative Strategies for Optimization (NICSO 2008) ISBN: 3642260349 ISBN-13(EAN): 9783642260346 Издательство: Springer Рейтинг: Цена: 204040.00 T 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: 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: 204040.00 T 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: 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: 204040.00 T 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: 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: 156720.00 T 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: 83080.00 T 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.
Автор: Lindfield, George (professor, School Of Engineering And Applied Science, Aston University) Penny, John (professor, School Of Engineering And Applied S Название: Introduction to nature-inspired optimization ISBN: 0128036362 ISBN-13(EAN): 9780128036365 Издательство: Elsevier Science Рейтинг: Цена: 106620.00 T Наличие на складе: Нет в наличии. Описание:
Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in the way various species behave in order to optimize their chances of survival. The book describes each method, examines their strengths and weaknesses, and where appropriate, provides the MATLAB code to give practical insight into the detailed structure of these methods and how they work.
Nature-inspired algorithms emulate processes that are found in the natural world, spurring interest for optimization. Lindfield/Penny provide concise coverage to all the major algorithms, including genetic algorithms, artificial bee colony algorithms, ant colony optimization and the cuckoo search algorithm, among others. This book provides a quick reference to practicing engineers, researchers and graduate students who work in the field of optimization.
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