Foundations of Global Genetic Optimization, Robert Schaefer
Автор: Muhammet ?nal; Ay?a Ak; Vedat Topuz; Hasan Erdal Название: Optimization of PID Controllers Using Ant Colony and Genetic Algorithms ISBN: 3642434770 ISBN-13(EAN): 9783642434778 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the theory behind artificial neural networks, genetic algorithms and the ant colony optimization algorithm, and presents a novel real time control algorithm using genetic and ant colony optimization algorithms for optimizing PID controllers.
Описание: This book, the first devoted entirely to the subject, presents in detail the various permutative-based combinatorial differential evolution formulations by their initiators in an easy-to-follow manner through numerous illustrations and computer code.
Автор: Ajith Abraham; Crina Grosan; Vitorino Ramos Название: Stigmergic Optimization ISBN: 3642071066 ISBN-13(EAN): 9783642071065 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: First studied in social insects like ants, indirect self-organizing interactions - known as "stigmergy" - occur when one individual modifies the environment and another subsequently responds to the new environment.
Автор: Emmanuel Laporte; Patrick Le Tallec Название: Numerical Methods in Sensitivity Analysis and Shape Optimization ISBN: 1461265983 ISBN-13(EAN): 9781461265986 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Numerical Methods in Sensitivity Analysis and Shape Optimization will be of interest to graduate students involved in mathematical modeling and simulation, as well as engineers and researchers in applied mathematics looking for an up-to-date introduction to optimization techniques, sensitivity analysis, and optimal design.
Автор: Leslie Astudillo; Patricia Melin; Oscar Castillo Название: Chemical Optimization Algorithm for Fuzzy Controller Design ISBN: 3319052446 ISBN-13(EAN): 9783319052441 Издательство: Springer Рейтинг: Цена: 8489.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Introduction.-
Theory and Background.-
Chemical Definitions.-
The Proposed Chemical Reaction Algorithm.-
Application Problems.-
Simulation Results.-
Conclusions.
Автор: Hime Aguiar e Oliveira Junior Название: Evolutionary Global Optimization, Manifolds and Applications ISBN: 3319264664 ISBN-13(EAN): 9783319264660 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents powerful techniques for solving global optimization problems on manifolds by means of evolutionary algorithms, and shows in practice how these techniques can be applied to solve real-world problems. Here, these problems are reformulated as constrained global optimization tasks and solved with the help of Fuzzy ASA.
Автор: William B. Langdon; Riccardo Poli Название: Foundations of Genetic Programming ISBN: 3642076327 ISBN-13(EAN): 9783642076329 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Genetic programming (GP), one of the most advanced forms of evolutionary computation, has been highly successful as a technique for getting computers to automatically solve problems without having to tell them explicitly how. Since its inceptions more than ten years ago, GP has been used to solve practical problems in a variety of application fields. Along with this ad-hoc engineering approaches interest increased in how and why GP works. This book provides a coherent consolidation of recent work on the theoretical foundations of GP. A concise introduction to GP and genetic algorithms (GA) is followed by a discussion of fitness landscapes and other theoretical approaches to natural and artificial evolution. Having surveyed early approaches to GP theory it presents new exact schema analysis, showing that it applies to GP as well as to the simpler GAs. New results on the potentially infinite number of possible programs are followed by two chapters applying these new techniques.
Описание: With applications to many areas in science and technology, the technique examined in this volume is a highly effective algorithmic problem-solving tool. Contributions from leading experts cover the latest research and provide detailed examples of its use.
Автор: German Terrazas; Fernando E. B. Otero; Antonio D. Название: Nature Inspired Cooperative Strategies for Optimization (NICSO 2013) ISBN: 3319016911 ISBN-13(EAN): 9783319016917 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Collecting research presented at NICSO 2013, this book reports on nature-inspired methods and applications including Swarm Intelligence, Hyper-heuristics, Evolutionary Algorithms, Cellular Automata, Artificial Bee Colony, Ant Clustering and many others.
Описание: This book illustrates recent bio-inspired efficient algorithms for solving NP-hard problems. Discusses theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots, variations of the Traveling Salesman Problem and more.
Описание: This book discusses nature-inspired optimization algorithms, neural networks, hybrid intelligent control systems, intelligent techniques for solving complex pattern recognition problems, along with new concepts and applications of soft computing.
Автор: Khamehchi, Ehsan Mahdiani, Mohammad Reza Название: Gas allocation optimization methods in artificial gas lift ISBN: 3319514504 ISBN-13(EAN): 9783319514505 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Brief offers a comprehensive study covering the different aspects of gas allocation optimization in petroleum engineering. It contains different methods of defining the fitness function, dealing with constraints and selecting the optimizer; This book will be of use for production engineers and students interested in gas lift optimization.
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