Metaheuristics for Combinatorial Optimization
Seiten
2021
|
1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-68519-5 (ISBN)
Springer International Publishing (Verlag)
978-3-030-68519-5 (ISBN)
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.
Erscheinungsdatum | 01.03.2021 |
---|---|
Reihe/Serie | Advances in Intelligent Systems and Computing |
Zusatzinfo | XI, 57 p. 21 illus., 16 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 127 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik | |
Schlagworte | Continuous, Discrete & Mixed Optimization • Exact methods • Hybrid metaheuristics • Interactive Evolutionary Multiobjective Optimization • Mathematical Programming • Metaheuristics in Data Analytics & Big Data • Metaheuristics in Dynamic Environments • Metaheuristics in Machine Learning • Metaheuristics in Uncertainty Management • Multi-Objective Optimization • parallel metaheuristics • Population-Based Metaheuristics • Single-Solution Based Metaheuristics |
ISBN-10 | 3-030-68519-5 / 3030685195 |
ISBN-13 | 978-3-030-68519-5 / 9783030685195 |
Zustand | Neuware |
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