Advanced Engineering Optimization Through Intelligent Techniques, R. Venkata Rao; Jan Taler
Автор: Manish Verma; Peter Marwedel Название: Advanced Memory Optimization Techniques for Low-Power Embedded Processors ISBN: 9048174716 ISBN-13(EAN): 9789048174713 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book proposes novel memory hierarchies and software optimization techniques for the optimal utilization of memory hierarchies. It presents a wide range of optimizations, progressively increasing in the complexity of analysis and of memory hierarchies.
Автор: Bhattacharyya Siddhartha, Banerjee Pinaki, Majumdar Dipankar Название: Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications ISBN: 1466694742 ISBN-13(EAN): 9781466694743 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 277200.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Conventional computational methods, and even the latest soft computing paradigms, often fall short in their ability to offer solutions to many real-world problems due to uncertainty, imprecision, and circumstantial data. Hybrid intelligent computing is a paradigm that addresses these issues to a considerable extent.The Handbook of Research on Advanced Research on Hybrid Intelligent Techniques and Applications highlights the latest research on various issues relating to the hybridization of artificial intelligence, practical applications, and best methods for implementation. Focusing on key interdisciplinary computational intelligence research dealing with soft computing techniques, pattern mining, data analysis, and computer vision, this book is relevant to the research needs of academics, IT specialists, and graduate-level students.
Автор: Dunsmore Название: Handbook of Microwave Component Measurements: with Advanced VNA Techniques ISBN: 1119979552 ISBN-13(EAN): 9781119979555 Издательство: Wiley Рейтинг: Цена: 99790.00 T Наличие на складе: Поставка под заказ. Описание: Explains the interactions between the device-under-test (DUT) and the measuring equipment by demonstrating the best practices for ascertaining the true nature of the DUT, and optimizing the time to set up and measure
Автор: R. Venkata Rao; Vimal J. Savsani Название: Mechanical Design Optimization Using Advanced Optimization Techniques ISBN: 1447159780 ISBN-13(EAN): 9781447159780 Издательство: Springer Рейтинг: Цена: 130590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a comprehensive review of the latest research and development trends for design optimization of mechanical elements and devices. The authors demonstrate optimization approaches using examples of various mechanical elements and devices.
Автор: Wojciech Mitkowski; Janusz Kacprzyk; Krzysztof Opr Название: Trends in Advanced Intelligent Control, Optimization and Automation ISBN: 3319606980 ISBN-13(EAN): 9783319606989 Издательство: Springer Рейтинг: Цена: 279500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Sliding mode control of discrete time dynamical systems with state constraints.- Offset-free nonlinear model predictive control.- Simple example of dual control problem with almost analytical solution.- Lyapunov matrices approach to the parametric optimization of a time delay system with PID controller.- Estimation of control improvement benefit with α-stable distribution.- Stability analysis of a series of cars driving in adaptive cruise control mode.- The clipped LQ control oriented on driving safety of a half-car model with magnetorheological dampers.- Implementation of DMC algorithm in embedded controller - resources, memory and numerical modifications.
Автор: Precup Radu-Emil, Kamal Tariq, Zulqadar Hassan Syed Название: Solar Photovoltaic Power Plants: Advanced Control and Optimization Techniques ISBN: 9811361509 ISBN-13(EAN): 9789811361500 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book discusses control and optimization techniques in the broadest sense, covering new theoretical results and the applications of newly developed methods for PV systems. Going beyond classical control techniques, it promotes the use of more efficient control and optimization strategies based on linearized models and purely continuous (or discrete) models. These new strategies not only enhance the performance of the PV systems, but also decrease the cost per kilowatt-hour generated.
Автор: Ponce-Ortega Название: Optimization of Process Flowsheets through Metaheuristic Techniques ISBN: 3319917218 ISBN-13(EAN): 9783319917214 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook presents a general multi-objective optimization framework for optimizing chemical processes by implementing a link between process simulators and metaheuristic techniques.
Автор: Jos? Mar?a Ponce-Ortega; Luis Germ?n Hern?ndez-P?r Название: Optimization of Process Flowsheets through Metaheuristic Techniques ISBN: 3030062848 ISBN-13(EAN): 9783030062842 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook presents a general multi-objective optimization framework for optimizing chemical processes by implementing a link between process simulators and metaheuristic techniques. The proposed approach is general and shows how to implement links between different process simulators such as Aspen Plus®, HYSIS®, Super Pro Designer® linked to a variety of metaheuristic techniques implemented in Matlab®, Excel®, C++, and others, eliminating the numerical complications through the optimization process. Furthermore, the proposed framework allows the use of thermodynamic, design and constitutive equations implemented in the process simulator to implement any process. Aimed at graduate and undergraduate students, it presents introductory chapters for process simulators and metaheuristic optimization techniques and provides several worked exercises as well as proposed exercises. In addition, accompanying tutorial videos clearly explaining the implemented methodologies are available online. Also, some Matlab® routines are included as electronic supporting material.
Автор: Mario Koeppen; Gerald Schaefer; Ajith Abraham Название: Intelligent Computational Optimization in Engineering ISBN: 3642269400 ISBN-13(EAN): 9783642269400 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Part I Frameworks.- Part II Algorithm Integration.- Part III Applications.
Автор: Festa Название: Learning and Intelligent Optimization ISBN: 3319503480 ISBN-13(EAN): 9783319503486 Издательство: Springer Рейтинг: Цена: 54040.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Learning and Optimization, LION 10, which was held on Ischia, Italy, in May/June 2016. The 14 full papers presented together with 9 short papers and 2 GENOPT papers were carefully reviewed and selected from 47 submissions.
Автор: Roberto Battiti; Mauro Brunato; Franco Mascia Название: Reactive Search and Intelligent Optimization ISBN: 1441934995 ISBN-13(EAN): 9781441934994 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the main principles of reactive search and intelligent optimization and clearly shows how they can be used in problem solving. The book will be of interest to anyone working in the meta-heuristics.
Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk Название: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization ISBN: 331917746X ISBN-13(EAN): 9783319177465 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.
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