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Auteur A.E. Eiben |
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Titre : Introduction to Evolutionary Computing Type de document : Monographie Auteurs : A.E. Eiben, Auteur ; J.E. Smith, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2015 Importance : 300 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-662-44874-8 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Informatique
[Termes IGN] algorithme évolutionniste
[Termes IGN] intelligence artificielle
[Termes IGN] optimisation (mathématiques)
[Termes IGN] programmation informatiqueRésumé : (éditeur) Evolutionary Computing is the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. These techniques are being increasingly widely applied to a variety of problems, ranging from practical applications in industry and commerce to leading-edge scientific research. This book presents the first complete overview of this exciting field aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. To this group the book is valuable because it presents EC as something to be used rather than just studied. Last, but not least, this book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields. Note de contenu : 1- Problems to Be Solved
2- Evolutionary Computing: The Origins
3- What Is an Evolutionary Algorithm?
4- Representation, Mutation, and Recombination
5- Fitness, Selection, and Population Management
6- Popular Evolutionary Algorithm Variants
7- Parameters and Parameter Tuning
8- Parameter Control
9- Working with Evolutionary Algorithms
10- Hybridisation with Other Techniques: Memetic Algorithms
11- Nonstationary and Noisy Function Optimisation
12- Multiobjective Evolutionary Algorithms
13- Constraint Handling
14- Interactive Evolutionary Algorithms
15- Coevolutionary Systems
16- Theory
17- Evolutionary RoboticsNuméro de notice : 25871 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Monographie DOI : 10.1007/978-3-662-44874-8 En ligne : https://doi.org/10.1007/978-3-662-44874-8 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95544