This book focuses on metaheuristic methods and its applications to real-world problems in Engineering. The first part describes some key metaheuristic methods, such as Bat Algorithms, Particle Swarm Optimization, Differential Evolution, and Particle Collision Algorithms. Improved versions of these methods and strategies for parameter tuning are also presented, both of which are essential for the practical use of these important computational tools. The second part then applies metaheuristics to problems, mainly in Civil, Mechanical, Chemical, Electrical, and Nuclear Engineering. Other methods, such as the Flower Pollination Algorithm, Symbiotic Organisms Search, Cross-Entropy Algorithm, Artificial Bee Colonies, Population-Based Incremental Learning, Cuckoo Search, and Genetic Algorithms, are also presented. The book is rounded out by recently developed strategies, or hybrid improved versions of existing methods, such as the Lightning Optimization Algorithm, Differential Evolution with Particle Collisions, and Ant Colony Optimization with Dispersion – state-of-the-art approaches for the application of computational intelligence to engineering problems.
The wide variety of methods and applications, as well as the original results to problems of practical engineering interest, represent the primary differentiation and distinctive quality of this book. Furthermore, it gathers contributions by authors from four countries – some of which are the original proponents of the methods presented – and 18 research centers around the globe.
Описание: This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book is organized into seven main parts, each with a collection of papers on a similar subject. The first part presents new concepts and algorithms based on type-2 fuzzy logic for dynamic parameter adaptation in meta-heuristics. The second part discusses network theory and applications, and includes papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The third part addresses the theory and practice of meta-heuristics in different areas of application, while the fourth part describes diverse fuzzy logic applications in the control area, which can be considered as intelligent controllers. The next two parts explore applications in areas, such as time series prediction, and pattern recognition and new optimization and evolutionary algorithms and their applications respectively. Lastly, the seventh part addresses the design and application of different hybrid intelligent systems.
Автор: Yoel Tenne; Chi-Keong Goh Название: Computational Intelligence in Expensive Optimization Problems ISBN: 3642263186 ISBN-13(EAN): 9783642263187 Издательство: Springer Рейтинг: Цена: 39182.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A combination of theoretical treatment and real-world insight introduce the field of computational intelligence in this valuable reference. Topics include neural networks, frameworks for optimization, parallelization of algorithms, and more.
Автор: Yoel Tenne; Chi-Keong Goh Название: Computational Intelligence in Expensive Optimization Problems ISBN: 3642107001 ISBN-13(EAN): 9783642107009 Издательство: Springer Рейтинг: Цена: 43100.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A combination of theoretical treatment and real-world insight introduce the field of computational intelligence in this valuable reference. Topics include neural networks, frameworks for optimization, parallelization of algorithms, and more.
Автор: Danil Prokhorov Название: Computational Intelligence in Automotive Applications ISBN: 3642424252 ISBN-13(EAN): 9783642424250 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited volume is the first of its kind and provides a representative sample of contemporary computational intelligence (CI) activities in the area of automotive technology. All chapters contain overviews of the state-of-the-art.
Описание: This book highlights a new direction of multiobjective optimization. It introduces sophisticated methods for sequential approximate multiobjective optimization using computational intelligence along with real applications, mainly engineering problems.
Описание: This volume presents ten self-contained, detailed case studies of real-world optimization problems, selected from a wide range of applications. The text consists of contributions from worldwide experts who are working in these exciting areas.
This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures. This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.
Описание: This book highlights a new direction of multiobjective optimization. It introduces sophisticated methods for sequential approximate multiobjective optimization using computational intelligence along with real applications, mainly engineering problems.
Автор: Yoel Tenne; Chi-Keong Goh Название: Computational Intelligence in Optimization ISBN: 3642263615 ISBN-13(EAN): 9783642263613 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.
Автор: Yoel Tenne; Chi-Keong Goh Название: Computational Intelligence in Optimization ISBN: 3642127746 ISBN-13(EAN): 9783642127748 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.
