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Metaheuristics for Combinatorial Optimization: Advances in Intelligent Systems and Computing, cartea 1332

Editat de Salvatore Greco, Mario F. Pavone, El-Ghazali Talbi, Daniele Vigo
en Limba Engleză Paperback – 14 feb 2021
This book presents novel and original metaheuristics developed to solve the cost-balanced traveling salesman problem. This problem was taken into account for the Metaheuristics Competition proposed in MESS 2018, Metaheuristics Summer School, and the top 4 methodologies ranked are included in the book, together with a brief introduction to the traveling salesman problem and all its variants.
The book is aimed particularly at all researchers in metaheuristics and combinatorial optimization areas. 
Key uses are metaheuristics; complex problem solving; combinatorial optimization; traveling salesman problem.

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Specificații

ISBN-13: 9783030685195
ISBN-10: 3030685195
Pagini: 57
Ilustrații: XI, 57 p. 21 illus., 16 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.11 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Intelligent Systems and Computing

Locul publicării:Cham, Switzerland

Textul de pe ultima copertă

This book presents novel and original metaheuristics developed to solve the cost-balanced traveling salesman problem. This problem was taken into account for the Metaheuristics Competition proposed in MESS 2018, Metaheuristics Summer School, and the top 4 methodologies ranked are included in the book, together with a brief introduction to the traveling salesman problem and all its variants.
The book is aimed particularly at all researchers in metaheuristics and combinatorial optimization areas. 
Key uses are metaheuristics; complex problem solving; combinatorial optimization; traveling salesman problem.

Caracteristici

Analyzes metaheuristics from its designing to its implementation Includes recent research results from Metaheuristics Summer School (MESS 2018) held in Taormina, Italy, on 15 April 2018 Discusses recent research in Metaheuristics for Combinatorial Optimization