Evolutionary Multi-Criterion Optimization, Carlos M. Fonseca; Peter J. Fleming; Eckart Zitzle
Автор: Robin Purshouse; Peter Fleming; Carlos M. Fonseca; Название: Evolutionary Multi-Criterion Optimization ISBN: 3642371396 ISBN-13(EAN): 9783642371394 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Plenary talks.- New horizons.- Indicator-based methods.- Aspects of algorithm design.- Pareto-based methods.- Hybrid MCDA.- Decomposition-based methods.- Classical MCDA.- Exploratory problem analysis.- Product and process applications.- Aerospace and automotive applications.- Further real-world applications.- Under-explored challenges.
Автор: Maclean Leonard C Et Al Название: Kelly Capital Growth Investment Criterion, The: Theory And Practice ISBN: 9814383139 ISBN-13(EAN): 9789814383134 Издательство: World Scientific Publishing Рейтинг: Цена: 8554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides the definitive treatment of fortune`s formula or the Kelly capital growth criterion as it is often called. This volume covers various aspects of the theory and practice of dynamic investing. It discusses good and bad properties, as are fixed-mix and volatility induced growth strategies.
Описание: Directed towards graduate students and researchers in modern theory control, this text presents a general technique for the synthesis of controllers, and indicates areas where further research is indicated.
Автор: Heike Trautmann; G?nter Rudolph; Kathrin Klamroth; Название: Evolutionary Multi-Criterion Optimization ISBN: 3319541560 ISBN-13(EAN): 9783319541563 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in Munster, Germany in March 2017. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; parallel EMO models; EMO algorithm implementations.
Автор: Ant?nio Gaspar-Cunha; Carlos Henggeler Antunes; Ca Название: Evolutionary Multi-Criterion Optimization ISBN: 331915933X ISBN-13(EAN): 9783319159331 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015 held in Guimaraes, Portugal in March/April 2015.
Автор: Ant?nio Gaspar-Cunha; Carlos Henggeler Antunes; Ca Название: Evolutionary Multi-Criterion Optimization ISBN: 3319158910 ISBN-13(EAN): 9783319158914 Издательство: Springer Рейтинг: Цена: 12298.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015 held in Guimaraes, Portugal in March/April 2015.
Автор: Eckart Zitzler; Kalyanmoy Deb; Lothar Thiele; Carl Название: Evolutionary Multi-Criterion Optimization ISBN: 3540417451 ISBN-13(EAN): 9783540417453 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A collection of papers organized in sections on algorithm improvements, performance assessment and comparison, constraint handling and problem decomposition, uncertainty and noise, hybrid and alternative methods, scheduling, and applications of multi-objective optimization in a variety of fields.
Автор: Shigeru Obayashi; Kalyanmoy Deb; Carlo Poloni; Tom Название: Evolutionary Multi-Criterion Optimization ISBN: 3540709274 ISBN-13(EAN): 9783540709275 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007, held in Matsushima, Japan in March 2007. This book includes sections on algorithm design, algorithm improvements, alternative methods, applications, engineering design, objective handling, and performance assessments.
Автор: Carlos M. Fonseca; Xavier Gandibleux; Jin-Kao Hao; Название: Evolutionary Multi-Criterion Optimization ISBN: 3642010199 ISBN-13(EAN): 9783642010194 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 5th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2009, held in Nantes, France in April 2009. This book presents 39 revised full papers together with 5 invited talks that were reviewed and selected from 72 submissions.
Описание: This is the third edition of a classic and comprehensive reference guide to the theory and practice of organizational tests. It had been updated to address modern approaches to testing and simplified computations.
Автор: Konstantinos G. Papadopoulos Название: PID Controller Tuning Using the Magnitude Optimum Criterion ISBN: 3319072625 ISBN-13(EAN): 9783319072623 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An instructive reference that will help control researchers and engineers, interested in a variety of industrial processes, to take advantage of a powerful tuning method for the ever-popular PID control paradigm.This monograph presents explicit PID tuning rules for linear control loops regardless of process complexity.
Автор: Konstantinos G. Papadopoulos Название: PID Controller Tuning Using the Magnitude Optimum Criterion ISBN: 3319348604 ISBN-13(EAN): 9783319348605 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An instructive reference that will help control researchers and engineers, interested in a variety of industrial processes, to take advantage of a powerful tuning method for the ever-popular PID control paradigm.This monograph presents explicit PID tuning rules for linear control loops regardless of process complexity.
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