Evolutionary optimization in uncertain environments : A survey
- Author
- YAOCHU JIN1 ; BRANKE, Jurgen2
[1] Honda Research Institute Europe, Offenbach 63073, Germany
[2] Institute of AIFB, University of Karlsruhe, Karlsruhe 76128, Germany - Source
IEEE transactions on evolutionary computation. 2005, Vol 9, Num 3, pp 303-317, 15 p ; ref : 225 ref
- CODEN
- ITEVF5
- ISSN
- 1089-778X
- Scientific domain
- Computer science
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Approximation models dynamic environments noise robustness uncertainty
- Keyword (fr)
- Algorithme génétique Algorithme évolutionniste Approximation fonction Erreur approximation Fonction erreur Incertitude Modélisation Optimisation Optimum Programmation mathématique Rapport signal bruit Robustesse Solution optimale Système incertain
- Keyword (en)
- Genetic algorithm Evolutionary algorithm Function approximation Approximation error Error function Uncertainty Modeling Optimization Optimum Mathematical programming Signal to noise ratio Robustness Optimal solution Uncertain system
- Keyword (es)
- Algoritmo genético Algoritmo evoluciónista Error aproximación Función error Incertidumbre Modelización Optimización Optimo Programación matemática Relación señal ruido Robustez Solución óptima Sistema incierto
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C02 Learning and adaptive systems
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 16849722
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1109/TEVC.2005.846356 
https://dx.doi.org/10.1109/TEVC.2005.846356
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