Weiqi Li 
The Traveling Salesman Problem [PDF ebook] 
Optimization with the Attractor-Based Search System

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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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Table of Content

Introduction.- The Traveling Salesman Problem (TSP).- The Nature of Heuristic Local Search.- he Attractor-Based Search System.- Solving Multi-objective TSP.- Solving Dynamic TSP.- Solving Probabilistic TSP.- Conclusion.

About the author

Weiqi Li, Ph D,  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).

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Language English ● Format PDF ● Pages 141 ● ISBN 9783031357190 ● File size 5.9 MB ● Age 02-99 years ● Publisher Springer Nature Switzerland ● City Cham ● Country CH ● Published 2023 ● Downloadable 24 months ● Currency EUR ● ID 9072073 ● Copy protection Social DRM

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