Fast & Free Shipping
Get FREE delivery in the Republic of Ireland when you spend over €10
Currently Out Of Stock
The Traveling Salesman Problem
Weiqi Li
|
Paperback
€53.99
Collect 161 Reward Points
- Currently Out Of Stock
- Book Synopsis
- 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.
- About The Author
- 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).
- Product Details
-
- ISBN
- 9783031357213
- Format
- Paperback
- Publisher
- Springer, (26 July 2024)
- Number of Pages
- 141
- Language
- English
- Dimensions
- 240 x 168 mm
- Series:
- See all books in this series
- Categories: