How to implement an ACO algorithm for vehicle routing?

i need pre-written code to solve VRP using ACO or GA.

[Merged information from duplicate question]

anyone can help me with writing a code to implement ACO or Genetic Algorithm in solving VRP

[Walter Roberson]

http://www.idsia.ch/idsiareport/IDSIA-15-04.pdf

http://www.mathworks.com/matlabcentral/answers/8026-best-way-s-to-master-matlab

Answer 1

[Walter Roberson]

Your existing question is still here and still active. I have merged your information from your newer phrasing.

Please do not open duplicate questions: it only confuses and frustrates people.

Answer 2

[Arlene Natividad]

hello i really need help. I need a source code to solve vrp using ant colony for my thesis. please help me. please

[Walter Roberson]

https://www.mathworks.com/matlabcentral/answers/11282-how-to-implement-an-aco-algorithm-for-vehicle-routing

Watch out for plagiarism.

Answer 3

[hafid oubouddi]

hello, how to find parameters or solve equations of a system using ACO

[Walter Roberson]

You create a fitness function -- a function that has a lower value if the model or system of equations is solved better. Then you pass that fitness function into your ACO code.

When you have a model, then it is common to create the fitness function using the strategy:

• use the passed-in trial values of the parameters to predict what the results would be at each configuration of independent variables
• subtract the known values at those locations
• square each individual result
• sum those squares

This is sometimes known as a "sum of squared errors" function. It is the square of the Euclidean distance between the predicted values and the known values; a perfect fit would give a sum of squared errors of zero.

When you have a system of equations:

• take the left sides of the equations minus the right side of the equations
• square those differences
• sum those squares

This sum of squared errors would mathematically be zero when each of the equations balanced. (In practice you can run into numeric difficulties.)