Run your alternative algorithm and obtain a solution of tsp, save this result to another variable 4. Solving the travelling salesman problem using a sofm. Formulate the traveling salesman problem for integer linear programming as follows. Program for travelling salesman problem by using revised ones assignment method. They differ from competitive layers in that neighboring neurons in the selforganizing map learn to recognize neighboring sections of the input space.
Learn more about color reduction, som, sofm, selforganizing map, selforganizing future map image processing toolbox. What is the best softcomputing algorithm used to solve tsp problem the travelling salesman problem. The spherical selforganizing feature maps is a contemporary. In this case there are 200 stops, but you can easily change the nstops variable to get a different problem size. Another version of sofm training, called the batch algorithm, presents the whole data set to the network before any weights are updated. Data from txt files are retrived and solve using tsp. Travelling salesman problem by dynamic programming file. Cluster with selforganizing map neural network matlab. Travelling salesman problem file exchange matlab central. S sofm toolbox in matlab download free open source. This is a rendition of the classic traveling salesman problem, where the shortest tour needs to be found among all cites.
Heuristic method for traveling salesman problem tsp. The spherical selforganizing feature maps is a contemporary technique for data clustering and visualization. Plot the results on the same figure, using legend command to differentiate between the two. This model contains a implementation of the sofm algorithm using simulinks basic blocks. The script reads the distance matrix from an input file. Kohonen self organizing feature maps sofm for simulink. Som toolbox is a software library for matlab 5 version 5.
This example shows how to use binary integer programming to solve the classic traveling salesman problem. Travelling salesman problem with matlab programming. Generate all possible trips, meaning all distinct pairs of stops. Journal of engineering research and applications 41 2014 169172. Number of the neuron inputs grid size rows and columns initial value of standard deviation sigma0 topological neighborhood function. Cluster with selforganizing map neural network selforganizing feature maps sofm learn to classify input vectors according to how they are grouped in the input space. Can be used to solve both symmetric and asymmetric tsp. Each iteration the program searches for a different loop sizes which are better flipped around in the over all arrangement. The following matlab project contains the source code and matlab examples used for s sofm toolbox. The sofm algorithm is associated with a single block with various configuration parameters. Run my algorithm and obtain a solution of tsp, save this result to a variable 3. R it will generate a pdf file that shows how the order of the cities is found. Anybody have matlab code for travelling salesman problem.
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