i need matlab code for ant colony optimization for length find(target-order==0)

i need matlab coding for ant colony optimizat

Step 1: Read the given mat file target.mat to obtain the variable target using the command load target.mat

Step 2: Implement Ant Colony Optimization for 100 iterations to optimize the variable order by maximizing the objective function

J=length(find(target-order)==0);

Step 3: Store the best functional value after first iteration as J_start

Step 4: Implement Ant Colony Optimization for 100 iterations, and store the best functional value after the 100th iteration, as J_final

opt=0;
if J_final-J_start>0
    opt=1;
end

flag=0;
if J_final>=6
    flag=1;
end

The final assessment includes the variables opt and flag.

Answer 1

[Shashank Gupta]

Hi Shobana,

Ant colony Optimization (ACO) and Particle swarm optimization(PSO) are the recent Evolutionary algorithm and need a very clear understanding of Distributive algorithms. I suggest to kindly go through the math of these algorithm first to get a nice feel of the inline optimization happening. Morever you can find a MATLAB implementation of ACO from the following link,

https://www.mathworks.com/matlabcentral/fileexchange/52859-ant-colony-optimization-aco

This File exchange link will give a better understanding of how an optimization algorithm can be implemented. This can also be easily adapted to what you are intended to do.

I hope this helps,

Happy Learning.