Produkt
KlappentextThis 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.
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).
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).
Details
Weitere ISBN/GTIN9783031357190
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2023
Erscheinungsdatum08.07.2023
Auflage1st ed. 2024
Seiten141 Seiten
SpracheEnglisch
IllustrationenXIV, 141 p. 66 illus., 8 illus. in color.
Artikel-Nr.11715274
Rubriken
Genre9200