Discrete Cuckoo Search for Combinatorial Optimization

Éditeur :

Springer

Paru le : 2020-03-24

This book provides a literature review of techniques used to pass from continuous to combinatorial space, before discussing a detailed example with individual steps of how cuckoo search (CS) can be adapted to solve combinatorial optimization problems. It demonstrates the application of CS to three d...
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À propos

Auteur

Éditeur

Collection
n.c

Parution
2020-03-24

Pages
130 pages

EAN papier
9789811538353

Auteur(s) du livre


Dr. Aziz Ouaarab is an Assistant Professor of Computer Sciences and Applied Mathematics at Cadi Ayyad University of Marrakech, Morocco. Dr. Ouaarab received his M.S. degree in 2011 and his D.Phil. in Engineering Sciences in 2015, both from Mohammed V University of Rabat, Morocco. His thesis project focused on the use of nature-inspired metaheuristics to solve combinatorial optimization problems, and on cuckoo search as a special case to be improved. He joined the Computer Engineering and Systems Laboratory at the Faculty of Sciences and Techniques, Marrakech, in 2019. His research chiefly focuses on combinatorial optimization problems and how they can be solved by means of swarm intelligence and nature-inspired metaheuristics. Dr. Ouaarab currently serves on the editorial board of the International Journal of Bio-Inspired Computation.

Caractéristiques détaillées - droits

EAN PDF
9789811538360
Prix
94,94 €
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
2673 Ko
EAN EPUB
9789811538360
Prix
94,94 €
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
7526 Ko

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