The Traveling Salesman Problem: Optimization with the Attractor-Based Search System

Li, Weiqi

  • 出版商: Springer
  • 出版日期: 2024-07-27
  • 售價: $1,990
  • 貴賓價: 9.5$1,891
  • 語言: 英文
  • 頁數: 141
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031357213
  • ISBN-13: 9783031357213
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

作者簡介

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).

作者簡介(中文翻譯)

Weiqi Li,博士,是密西根大學弗林特校區的副教授,同時也是密西根大學數據科學研究所的附屬教員。他的研究興趣包括組合優化、啟發式方法、供應鏈管理和人工智慧。具體而言,Li 博士的研究專注於解決旅行推銷員問題(TSP)的新搜尋方法。