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.

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Product Description

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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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Advances in Intelligent Systems and Computing, 1332

Release date

February 2021

Availability

Expected to ship within 10 - 15 working days

First published

2021

Editors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

57

Edition

1st ed. 2021

ISBN-13

978-3-03-068519-5

Barcode

9783030685195

Categories

LSN

3-03-068519-5



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