Metaheuristics for Combinatorial Optimization (Paperback, 1st ed. 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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Advances in Intelligent Systems and Computing, 1332
Release date:	February 2021
First published:	2021
Editors:	Salvatore Greco • Mario F. Pavone • El--Ghazali Talbi • Daniele Vigo
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	57
Edition:	1st ed. 2021
ISBN-13:	978-3-03-068519-5
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-068519-5
Barcode:	9783030685195

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