|
2002-2003 Program: Optimization
IMA
PUBLIC LECTURE
The
Traveling Salesman Problem
William
J. Cook
Industrial and Systems Engineering
Georgia Institute of Technology
wcook@isye.gatech.edu
http://www.isye.gatech.edu/~wcook/
Wednesday, October 16, 2002, 7:00 PM
Moos Tower, Room 2-650
University of Minnesota, East
Bank
Poster
(pdf 6MB) (jpg
211KB)
http://www.math.princeton.edu/tsp/
Talk
58 mins. Lecture Video (flv)|RealAudio(SureStream)

USA
13509 Cities

USA
13509 Maze
USA
13509 Tour
The traveling salesman problem, or TSP for short, is easy to
state: given a number of "cities" along with the cost of travel
between each pair of them, find the cheapest way of visiting
all the cities and returning to your starting point. The simplicity
of the statement is deceptive - the TSP is one of the most intensely
studied problems in computational mathematics and yet no effective
solution method is known for the general case. Indeed, the resolution
of the TSP would settle the P versus NP problem and fetch a
$1,000,000 prize from the Clay Mathematics Institute.
Although the complexity of the TSP is still unknown, for over
50 years its study has led the way to improved solution methods
in many areas of mathematical optimization. We will discuss
the history of the TSP and examine the role it has played in
modern computational mathematics. We will also present a collection
of TSP applications, ranging from genome sequencing to on-line
grocery shopping. Finally, we will present a survey of recent
progress in algorithms for large-scale TSP instances, including
the solution of a million-city instance to within 0.09% of optimality
and the exact solution of a 15,112-city instance.
This talk is based on joint work with David
Applegate, Robert Bixby,
and Vasek Chvátal. It is partially
supported by the Institute of Technology Alumni Society.
Poster
(pdf 6MB) (jpg
211KB)
http://www.math.princeton.edu/tsp/
Talk
58 mins. RealVideo(SureStream)|RealAudio(SureStream)
Computational
Methods for Large Scale Integer Programs, October 14-19,
2002
2002-2003 Program: Optimization
|