The Traveling Salesman Problem and Optimization on a Grand Scale
Document Type
Presentation Abstract
Presentation Date
9-11-2003
Abstract
Optimization problems of enormous size and complexity arise in areas from genome sequencing to VLSI design. In this talk we discuss the challenges in working with large-scale models by considering the well-known traveling salesman problem, or TSP for short, which asks for the cheapest way to visit a collection of cities and return to the starting point. For over fifty years the study of the TSP has led to improved solution methods for a wide range of practical problems. We will discuss the history and applications of the TSP and the methods used to attack very large instances. Along the way, we discuss the interplay of modern applied mathematics and increasingly more powerful computing platforms, including computational grids and distributed web-computing.
Recommended Citation
Cook, William, "The Traveling Salesman Problem and Optimization on a Grand Scale" (2003). Colloquia of the Department of Mathematical Sciences. 144.
https://scholarworks.umt.edu/mathcolloquia/144
Additional Details
This talk is part of The Big Sky Conference, and is sponsored in part by the National Science Foundation, The Presidents Office & the Department of Mathematical Sciences.
Thursday, 11 September 2003
8:00 p.m. in the Music Recital Hall
Refreshments following lecture in Lobby