Traveling Salesman Problem (TSP) using Simulated Annealing
by Aravind Seshadri
13 Jan 2006
(Updated 23 Mar 2006)
A GUI for sovling TSP's using Simulated Annealing
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| File Information |
| Description |
simulatedannealing() is an optimization routine for traveling salesman problem. Any dataset from the TSPLIB can be suitably modified and can be used with this routine. A detailed description about the function is included in "Simulated_Annealing_Support_Document.pdf."
A GUI is used with the core function to visualize and to vary annealing parameters.
Four sample data set from TSPLIB is provided. You can create your own data set by following a simple procedure given in the supporting document.
You can access the TSPLIB by following this link
http://www.iwr.uni-heidelberg.de/groups/comopt/software/TSPLIB95/
Feel free to drop in your comments, suggestions, bugs and mistakes in the algorithm.
Note: Simulated Annealing is a memory intensive and processor intensive algorithm. A big data set may take hours depending on your computer configuration. |
| MATLAB release |
MATLAB 7.1.0 (R14SP3)
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| Other requirements |
Requires a lot of memory.
Minimum recommended 256 MB RAM |
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| 06 Mar 2006 |
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Long Phan Hai
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| 28 Mar 2011 |
??
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| 23 Jun 2011 |
ahmed
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| Updates |
| 23 Mar 2006 |
1. Added a few more benchmark problems.
2. Added support for running GUI for users with MATLAB version 6.1 or higher. A single m file which replaces the fig and m file combination can be used. Use stsp_v61_export.m |
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