The Traveling Tourist Hall of Fame
These are the best reported tours of the following problem
instances. The data sets and problem instances are defined on the
data set page.
Some notes are given
below describing the progress on finding good tours and on establishing
lower bounds for the instances.
Fastest Tours
Tours marked with * are claimed to be optimal.
- 3/10/96
- Hong-Montomgery parasitic algorithm improves
the big instances.
- 2/23/96
- Hee-Saito genetic algorithm improves almost
all tours.
- 2/22/96
- Additional improved tours found by greedy
algorithm.
- 2/19/96
- The Popovic-Shade Simulated Annealing algorithm
improves on many existing tours.
- Further improvement of the greedy algorithm by BTM - superior to Simulated
Annealing in a few cases.
- 2/14/96
- Branch and Bound establishes optimal tours
for south.12, south.18, and south.25.
- 2/13/96
- Local brute force improvement gives a better
bound on uk.100.
- I improved the BLM result on south.49 by
running their tour through a local-improvement algorithm. Running the
progam showtour on the result suggests that there is still much room for
improvement!
- 2/12/96
- The Baer-Lim-Michalowski randomized greedy
algorithms gives improved tours of the Southern Railway. The algorithm
randomly chooses a neighbor to extend the path to. The results are the best
of a number of trials.
- 2/11/96
- The Baker-Secosky greedy algorithms establishes
good upper bounds for almost all instances.
- 1/24/96
- Branch and bound solve usa.15, mesh.5, and tri.6 (and some
smaller instances). The branch and bound uses a best-first search, coupled
with a hashing technique to reduce duplicate tree traversals.
- 1/24/96
- The bound on uk-sch.100 improved to 24 days 8 hours 57 minutes with
a genetic algorithm (run time ~ 12 minutes (Pentium 90 MHz)).
- 1/24/96
- A greedy algorithm visits uk-sch.100 in 28 days 1 hour 40 minutes.
(My guess is the algorithm extends the path to the closest unvisited city.)
- 1/16/96
- I've updated the solution of usa.15 to give the result of a branch
and bound search. The search terminated itself after visiting 1,000,000
nodes. This is not necessarily the best tour of the data set.
- 1/2/96
- Since a tour is going to traverse at least one edge leaving every
vertex, we can get a very weak lower bound by adding up the minimum duration
edges adjacent to each vertex. These are the current lower bounds. The upper
and lower bounds are within a factor of 100 of each other!
- 12/30/95
- All of the tours were generated with a really dumb algorithm. The
algorithm would repeatedly extend the path to an unvistited city until all
cities were visited. No attempt was made to choose good routes. Running
showtour on some of the tours will show that there has to be lots of room
for improvement!
Tourists
HSS: Meng-hee Heng, Jonathan Shakes, and Yasushi Saito
BS: Marla Baker and Jason Secosky
HM: Eddie Hong and Andy Montgomery
TBM: Tiam Lim, Jeremy Baer, Brian Michalowski
NMP: Jonathan Nowitz, Denise Pinnel, Zack Mason
PS: Jovan Popovic and Jonathan Shade