Metaheuristics for Combinatorial Optimization

Salvatore Greco, Mario F. Pavone, El-Ghazali Talbi, Daniele Vigo (Herausgeber)

Buch | Softcover

XI, 57 Seiten

2021 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-68519-5 (ISBN)

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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.

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
Themenwelt	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