Evolutionary computation in dynamic and uncertain environments
This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering syst...
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| Další autoři: | , , |
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| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2007. |
| Edice: | Studies in Computational Intelligence
51 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Evolutionary computation in dynamic and uncertain environments, Shengxiang Yang, Yew-Soon Ong, Yaochu Jin, (eds.), Berlin, Springer, 2007, 1 vol. (XXIII-605 p.), Studies in computational intelligence, 978-3-540-49772-1 • Evolutionary Computation in Dynamic and Uncertain Environments, Texte imprimé, 9783540833390 • Evolutionary Computation in Dynamic and Uncertain Environments, Texte imprimé, 9783642080654 • Evolutionary computation in dynamic and uncertain environments, Shengxiang Yang, Yew-Soon Ong, Yaochu Jin, (eds.), Berlin, Springer, 2007, 1 vol. (XXIII-605 p.), Studies in computational intelligence, 978-3-540-49772-1 |
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| 245 | 0 | 0 | |a Evolutionary computation in dynamic and uncertain environments |c edited by Shengxiang Yang, Yew-Soon Ong, Yaochu Jin. |
| 250 | |a 1st ed. 2007. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 51 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 and Robustness 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering systems is inevitable. Representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums, are presented. "Evolutionary Computation in Dynamic and Uncertain Environments" is a valuable reference for scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, natural computing and evolutionary computation | ||
| 700 | 1 | |a Yang, Shengxiang, |d 19..- |4 pbd | |
| 700 | 1 | |a Jin, Yaochu, |d 1966- |4 pbd | |
| 700 | 1 | |a Ong, Yew-Soon. |4 pbd | |
| 776 | 0 | |0 115644628 |t Evolutionary computation in dynamic and uncertain environments |f Shengxiang Yang, Yew-Soon Ong, Yaochu Jin, (eds.) |c Berlin |n Springer |d 2007 |p 1 vol. (XXIII-605 p.) |s Studies in computational intelligence |z 978-3-540-49772-1 | |
| 776 | 0 | |t Evolutionary Computation in Dynamic and Uncertain Environments |b Texte imprimé |z 9783540833390 | |
| 776 | 0 | |t Evolutionary Computation in Dynamic and Uncertain Environments |b Texte imprimé |z 9783642080654 | |
| 776 | 0 | |0 115644628 |t Evolutionary computation in dynamic and uncertain environments |f Shengxiang Yang, Yew-Soon Ong, Yaochu Jin, (eds.) |c Berlin |n Springer |d 2007 |p 1 vol. (XXIII-605 p.) |s Studies in computational intelligence |z 978-3-540-49772-1 | |
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