Téléchargez le livre : Evolutionary Algorithms
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Description

Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods.
In six chapters, this book presents the essential knowledge required to efficiently implement evolutionary algorithms.
Chapter 1 describes a generic evolutionary algorithm as well as the basic operators that compose it. Chapter 2 is devoted to the solving of continuous optimization problems, without constraint. Three leading approaches are described and compared on a set of test functions. Chapter 3 considers continuous optimization problems with constraints. Various approaches suitable for evolutionary methods are presented. Chapter 4 is related to combinatorial optimization. It provides a catalog of variation operators to deal with order-based problems. Chapter 5 introduces the basic notions required to understand the issue of multi-objective optimization and a variety of approaches for its application. Finally, Chapter 6 describes different approaches of genetic programming able to evolve computer programs in the context of machine learning.
Pages
256 pages
Collection
n.c
Parution
2017-04-11
Marque
Wiley-ISTE
EAN papier
9781848218048
EAN PDF
9781119136385
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
256
Taille du fichier
5437 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
187,49 €
EAN EPUB
9781119136415
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
256
Taille du fichier
8509 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
187,49 €

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