Metaheuristics for Combinatorial Optimization [E-Book] / edited by Salvatore Greco, Mario F. Pavone, El-Ghazali Talbi, Daniele Vigo.
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 boo...
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| Personal Name(s): | Greco, Salvatore, editor |
| Pavone, Mario F., editor / Talbi, El-Ghazali, editor / Vigo, Daniele, editor | |
| Edition: |
1st edition 2021. |
| Imprint: |
Cham :
Springer,
2021
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| Physical Description: |
XI, 57 pages 21 illustrations, 16 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9783030685201 |
| DOI: |
10.1007/978-3-030-68520-1 |
| Series Title: |
Advances in Intelligent Systems and Computing ;
1332 |
| Subject (LOC): |
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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. |