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Metaheuristics for Combinatorial Optimization - Advances in Intelligent Systems and Computing 1st ed. 2021 edition
Metaheuristics for Combinatorial Optimization - Advances in Intelligent Systems and Computing
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.
57 pages, 16 Illustrations, color; 5 Illustrations, black and white; XI, 57 p. 21 illus., 16 illus.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | February 14, 2021 |
| ISBN13 | 9783030685195 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 57 |
| Dimensions | 150 × 220 × 10 mm · 113 g |
| Language | German |
| Editor | Greco, Salvatore |
| Editor | Pavone, Mario F. |
| Editor | Talbi, El-Ghazali |
| Editor | Vigo, Daniele |