Téléchargez le livre : Iterative Optimizers

Iterative Optimizers

Difficulty Measures and Benchmarks

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Éditeur :

Wiley-ISTE


Paru le : 2019-04-10



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Description

Almost every month, a new optimization algorithm is proposed, often accompanied by the claim that it is superior to all those that came before it. However, this claim is generally based on the algorithm's performance on a specific set of test cases, which are not necessarily representative of the types of problems the algorithm will face in real life.
This book presents the theoretical analysis and practical methods (along with source codes) necessary to estimate the difficulty of problems in a test set, as well as to build bespoke test sets consisting of problems with varied difficulties.
The book formally establishes a typology of optimization problems, from which a reliable test set can be deduced. At the same time, it highlights how classic test sets are skewed in favor of different classes of problems, and how, as a result, optimizers that have performed well on test problems may perform poorly in real life scenarios.
Pages
224 pages
Collection
n.c
Parution
2019-04-10
Marque
Wiley-ISTE
EAN papier
9781786304094
EAN PDF
9781119612360
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
224
Taille du fichier
10455 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
163,47 €
EAN EPUB
9781119612407
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
224
Taille du fichier
6830 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
163,47 €

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