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Title Metaheuristics for Combinatorial Optimization edited by Salvatore Greco, Mario F. Pavone, El-Ghazali Talbi, Daniele Vigo
Edition 1st ed. 2021
Published Cham : Springer International Publishing : Imprint: Springer, 2021
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Description 1 online resource
Series Advances in Intelligent Systems and Computing, 2194-5365 ; 1332
Advances in Intelligent Systems and Computing, 2194-5365 ; 1332
Summary 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
In Springer Nature eBook
Subject Computational intelligence.
Artificial intelligence.
Form Electronic book
Author Greco, Salvatore. editor.
Pavone, Mario F. editor.
Talbi, El-Ghazali. editor.
Vigo, Daniele. editor.
SpringerLink (Online service)
ISBN 9783030685201