ISBN: 9783642080654
ISBN-13: 9783642080654, 978-3642080654. KG, Germany. Evolutionary Computation in Dynamic and Uncertain Environments Please note: this item is printed on demand and will take extra time… More...
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ISBN: 9783642080654
This book compiles recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The book is motivated by the fact that some degree of uncer… More...
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2010, ISBN: 9783642080654
Editor: Yang, Shengxiang, Editor: Ong, Yew-Soon, Editor: Jin, Yaochu, Springer, Paperback, Auflage: Softcover reprint of hardcover 1st ed. 2007, 628 Seiten, Publiziert: 2010-11-25T00:00:0… More...
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2007, ISBN: 9783642080654
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ISBN: 9783642080654
ISBN-13: 9783642080654, 978-3642080654. KG, Germany. Evolutionary Computation in Dynamic and Uncertain Environments Please note: this item is printed on demand and will take extra time… More...
ISBN: 9783642080654
This book compiles recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The book is motivated by the fact that some degree of uncer… More...
2010
ISBN: 9783642080654
Editor: Yang, Shengxiang, Editor: Ong, Yew-Soon, Editor: Jin, Yaochu, Springer, Paperback, Auflage: Softcover reprint of hardcover 1st ed. 2007, 628 Seiten, Publiziert: 2010-11-25T00:00:0… More...
2007, ISBN: 9783642080654
*Evolutionary Computation in Dynamic and Uncertain Environments* - Softcover reprint of hardcover 1st ed. 2007 / Taschenbuch für 213.99 € / Aus dem Bereich: Bücher, Wissenschaft, Technik … More...
2010, ISBN: 3642080650
[EAN: 9783642080654], New book, [SC: 0.0], [PU: Springer], PRINT ON DEMAND Book; New; Fast Shipping from the UK., Books
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Details of the book - Evolutionary Computation in Dynamic and Uncertain Environments Shengxiang Yang Editor
EAN (ISBN-13): 9783642080654
ISBN (ISBN-10): 3642080650
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer Berlin Heidelberg Core >1 >T
632 Pages
Weight: 0,941 kg
Language: eng/Englisch
Book in our database since 2011-05-04T01:43:23+01:00 (London)
Detail page last modified on 2023-11-21T22:19:45+00:00 (London)
ISBN/EAN: 9783642080654
ISBN - alternate spelling:
3-642-08065-0, 978-3-642-08065-4
Alternate spelling and related search-keywords:
Book author: yang, jin, ong, soon, yao
Book title: evolutionary environments
Information from Publisher
Author: Shengxiang Yang; Yew-Soon Ong; Yaochu Jin
Title: Studies in Computational Intelligence; Evolutionary Computation in Dynamic and Uncertain Environments
Publisher: Springer; Springer Berlin
605 Pages
Publishing year: 2010-11-30
Berlin; Heidelberg; DE
Printed / Made in
Language: English
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
POD
XXIII, 605 p.
BC; Hardcover, Softcover / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; algorithm; algorithms; artificial intelligence; data mining; evolution; evolutionary algorithm; evolutionary computation; evolutionary strategies; genetic algorithms; genetic programming; intelligence; modeling; neural networks; optimization; uncertainty; Mathematical and Computational Engineering Applications; Computational Intelligence; Artificial Intelligence; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Künstliche Intelligenz; Wahrscheinlichkeitsrechnung und Statistik; BB
Optimum Tracking in Dynamic Environments.- Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments.- Particle Swarm Optimization in Dynamic Environments.- Evolution Strategies in Dynamic Environments.- Orthogonal Dynamic Hill Climbing Algorithm: ODHC.- Genetic Algorithms with Self-Organizing Behaviour in Dynamic Environments.- Learning and Anticipation in Online Dynamic Optimization.- Evolutionary Online Data Mining: An Investigation in a Dynamic Environment.- Adaptive Business Intelligence: Three Case Studies.- Evolutionary Algorithms for Combinatorial Problems in the Uncertain Environment of the Wireless Sensor Networks.- Approximation of Fitness Functions.- Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization.- Evolutionary Shape Optimization Using Gaussian Processes.- A Study of Techniques to Improve the Efficiency of a Multi-Objective Particle Swarm Optimizer.- An Evolutionary Multi-objective Adaptive Meta-modeling Procedure Using Artificial Neural Networks.- Surrogate Model-Based Optimization Framework: A Case Study in Aerospace Design.- Handling Noisy Fitness Functions.- Hierarchical Evolutionary Algorithms and Noise Compensation via Adaptation.- Evolving Multi Rover Systems in Dynamic and Noisy Environments.- A Memetic Algorithm Using a Trust-Region Derivative-Free Optimization with Quadratic Modelling for Optimization of Expensive and Noisy Black-box Functions.- Genetic Algorithm to Optimize Fitness Function with Sampling Error and its Application to Financial Optimization Problem.- Search for Robust Solutions.- Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty.- Evolving the Tradeoffs between Pareto-Optimality andRobustness in Multi-Objective Evolutionary Algorithms.- Evolutionary Robust Design of Analog Filters Using Genetic Programming.- Robust Salting Route Optimization Using Evolutionary Algorithms.- An Evolutionary Approach For Robust Layout Synthesis of MEMS.- A Hybrid Approach Based on Evolutionary Strategies and Interval Arithmetic to Perform Robust Designs.- An Evolutionary Approach for Assessing the Degree of Robustness of Solutions to Multi-Objective Models.- Deterministic Robust Optimal Design Based on Standard Crowding Genetic Algorithm.State of the art of evolutionary algorithms in dynamic and uncertain environments Includes supplementary material: sn.pub/extras
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