Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Bestandsnummer des Verk�ufers 9783030685195

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Titel: Metaheuristics for Combinatorial Optimization (Paperback)
Verlag: Springer Nature Switzerland AG, Cham
Erscheinungsjahr: 2021
Sprache: Englisch
ISBN-10: 3030685195
ISBN-13: 9783030685195
Einband: Paperback
Auflage: 1. Auflage
Zustand: new

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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.

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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.

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