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Sinopsis
This book presents a new search paradigm for solving the Traveling Salesman Problem (TSP). The intrinsic difficulty of the TSP is associated with the combinatorial explosion of potential solutions in the solution space. The author introduces the idea of using the attractor concept in dynamical systems theory to reduce the search space for exhaustive search for the TSP. Numerous examples are used to describe how to use this new search algorithm to solve the TSP and its variants including: multi-objective TSP, dynamic TSP, and probabilistic TSP. This book is intended for readers in the field of optimization research and application.
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Acerca del autor
Weiqi Li, PhD, is an Associate Professor at the University of Michigan – Flint and an affiliated faculty in the Michigan Institute for Data Science at the University of Michigan. His research interests include combinatorial optimization, heuristics, supply chain management, and artificial intelligence. Specifically, Dr. Li’s research focuses on new search methods to solve the traveling salesman problem (TSP).
De la contraportada
This book presents a new search paradigm for solving the Traveling Salesman Problem (TSP). The intrinsic difficulty of the TSP is associated with the combinatorial explosion of potential solutions in the solution space. The author introduces the idea of using the attractor concept in dynamical systems theory to reduce the search space for exhaustive search for the TSP. Numerous examples are used to describe how to use this new search algorithm to solve the TSP and its variants including: multi-objective TSP, dynamic TSP, and probabilistic TSP. This book is intended for readers in the field of optimization research and application.
In addition, this book:
- Provides a complete understanding of the attractor concept in heuristic local searches
- Presents a new search paradigm for solving a NP-complete combinatorial problem
- Introduces the use of the attractor concept in dynamical systems theory to reduce the search space for TSP
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- EditorialSpringer-Verlag GmbH
- Año de publicación2023
- ISBN 10 3031357183
- ISBN 13 9783031357183
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas156
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The Traveling Salesman Problem : Optimization with the Attractor-Based Search System
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Springer Nature Switzerland, 2023
ISBN 10: 3031357183
ISBN 13: 9783031357183
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Condición: Hervorragend. Zustand: Hervorragend | Seiten: 156 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 41957547/1
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The Traveling Salesman Problem
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Springer International Publishing, Springer Nature Switzerland Jul 2023, 2023
ISBN 10: 3031357183
ISBN 13: 9783031357183
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a new search paradigm for solving the Traveling Salesman Problem (TSP). The intrinsic difficulty of the TSP is associated with the combinatorial explosion of potential solutions in the solution space. The author introduces the idea of using the attractor concept in dynamical systems theory to reduce the search space for exhaustive search for the TSP. Numerous examples are used to describe how to use this new search algorithm to solve the TSP and its variants including: multi-objective TSP, dynamic TSP, and probabilistic TSP. This book is intended for readers in the field of optimization research and application. 156 pp. Englisch. Nº de ref. del artículo: 9783031357183
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The Traveling Salesman Problem : Optimization with the Attractor-Based Search System
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Springer Nature Switzerland, Springer Nature Switzerland, 2023
ISBN 10: 3031357183
ISBN 13: 9783031357183
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a new search paradigm for solving the Traveling Salesman Problem (TSP). The intrinsic difficulty of the TSP is associated with the combinatorial explosion of potential solutions in the solution space. The author introduces the idea of using the attractor concept in dynamical systems theory to reduce the search space for exhaustive search for the TSP. Numerous examples are used to describe how to use this new search algorithm to solve the TSP and its variants including: multi-objective TSP, dynamic TSP, and probabilistic TSP. This book is intended for readers in the field of optimization research and application. Nº de ref. del artículo: 9783031357183
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The Traveling Salesman Problem
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Springer, Berlin|Springer Nature Switzerland|Springer, 2024
ISBN 10: 3031357183
ISBN 13: 9783031357183
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents a new search paradigm for solving the Traveling Salesman Problem (TSP). The intrinsic difficulty of the TSP is associated with the combinatorial explosion of potential solutions in the solution space. The author introduces the idea of . Nº de ref. del artículo: 873621413
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The Traveling Salesman Problem: Optimization With the Attractor-based Search System
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Hardcover. Condición: Brand New. 155 pages. 9.45x6.61x0.55 inches. In Stock. Nº de ref. del artículo: __3031357183
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The Traveling Salesman Problem
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Springer International Publishing, Springer Nature Switzerland Jul 2023, 2023
ISBN 10: 3031357183
ISBN 13: 9783031357183
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Buch. Condición: Neu. Neuware -This book presents a new search paradigm for solving the Traveling Salesman Problem (TSP). The intrinsic difficulty of the TSP is associated with the combinatorial explosion of potential solutions in the solution space. The author introduces the idea of using the attractor concept in dynamical systems theory to reduce the search space for exhaustive search for the TSP. Numerous examples are used to describe how to use this new search algorithm to solve the TSP and its variants including: multi-objective TSP, dynamic TSP, and probabilistic TSP. This book is intended for readers in the field of optimization research and application.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 156 pp. Englisch. Nº de ref. del artículo: 9783031357183
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