Metaheuristics for combinatorial optimization /: Salvatore Greco, Mario F. Pavone, El-Ghazali Talbi, Daniele Vigo, editors.

Greco, Salvatore,; Pavone, Mario; Talbi, El-Ghazali,; Vigo, Daniele,

doi:10.1007/978-3-030-68520-1

Metaheuristics for combinatorial optimization / Salvatore Greco, Mario F. Pavone, El-Ghazali Talbi, Daniele Vigo, editors.

Greco, Salvatore, editor.; Pavone, Mario (Professor of Computer Science), editor.; Talbi, El-Ghazali, 1965- editor.; Vigo, Daniele, editor.

2021

QA402.5

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Details

Title

Metaheuristics for combinatorial optimization / Salvatore Greco, Mario F. Pavone, El-Ghazali Talbi, Daniele Vigo, editors.

ISBN

9783030685201 (electronic bk.)
3030685209 (electronic bk.)
9783030685195
3030685195

DOI

https://doi.org/10.1007/978-3-030-68520-1

Published

Cham : Springer, [2021]

Language

English

Description

1 online resource (68 pages)

Item Number

10.1007/978-3-030-68520-1 doi

Call Number

QA402.5

Dewey Decimal Classification

519.6/4

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.

Bibliography, etc. Note

Includes bibliographical references and index.

Access Note

Access limited to authorized users.

Source of Description

Description based on print version record.

Added Author

Greco, Salvatore, editor.
Pavone, Mario (Professor of Computer Science), editor.
Talbi, El-Ghazali, 1965- editor.
Vigo, Daniele, editor.

Series

Advances in intelligent systems and computing ; 1336.

Available in Other Form

Metaheuristics for Combinatorial Optimization.