Configurable Intelligent Optimization Algorithm, Fei Tao; Lin Zhang; Yuanjun Laili
Автор: Fei Tao; Lin Zhang; Yuanjun Laili Название: Configurable Intelligent Optimization Algorithm ISBN: 3319088394 ISBN-13(EAN): 9783319088396 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presenting the concept and design and implementation of configurable intelligent optimization algorithms in manufacturing systems, this book provides a new configuration method to optimize manufacturing processes.
Автор: Panos M. Pardalos; Mauricio G.C. Resende; Chrysafi Название: Learning and Intelligent Optimization ISBN: 3319095838 ISBN-13(EAN): 9783319095837 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Learning and Optimization, LION 8, which was held in Gainesville, FL, USA, in February 2014. The 33 contributions presented were carefully reviewed and selected for inclusion in this book. multiobjective optimization;
Автор: Mario Koeppen; Gerald Schaefer; Ajith Abraham Название: Intelligent Computational Optimization in Engineering ISBN: 3642269400 ISBN-13(EAN): 9783642269400 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I Frameworks.- Part II Algorithm Integration.- Part III Applications.
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: 41925.00 р. 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.
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.
Автор: Festa Название: Learning and Intelligent Optimization ISBN: 3319503480 ISBN-13(EAN): 9783319503486 Издательство: Springer Рейтинг: Цена: 8106.00 р. 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: R. Venkata Rao Название: Teaching Learning Based Optimization Algorithm ISBN: 3319371304 ISBN-13(EAN): 9783319371306 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction to optimization.- Advanced optimization techniques.- Elitist and Modified TLBO algorithms.- Applications of proposed E-TLBO and M-TLBO algorithms on constrained and unconstrained benchmark functions.- Design optimization of heat exchangers.- Design optimization of rotary regenerators.- Design optimization of cooling tower.- Optimization of combined Brayton and inverse Brayton cycle.- Design optimization of two-stage thermoelectric cooler.- Process parameter optimization of manufacturing processes using TLBO algorithm.- Design optimization of machine elements using TLBO algorithm and its versions.- Applications of TLBO algorithm in electrical engineering discipline.- Applications of TLBO algorithm in computer engineering discipline.- Applications of TLBO algorithm in civil and structural engineering disciplines.- Concluding remarks.
Описание: For this reason we consider in this book the proposed method using fuzzy systems, fuzzy controllers, and bee colony optimization algorithm improve the behavior of the complex control problems.
Описание: The proposed solution implements three approaches to multi-objective multi-constraint optimization, namely, an evolutionary approach with NSGAII, a swarm intelligence approach with MOPSO and stochastic hill climbing approach with MOSA.
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: Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence.>Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.
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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