Can you please convert this matlab code to vhdl

clc;

clear;

close all;

%% Problem Definition

model=CreateModel();

CostFunction=@(tour) TourLength(tour,model);

nVar=model.n;

%% ACO Parameters

MaxIt=300; % Maximum Number of Iterations

nAnt=40; % Number of Ants (Population Size)

Q=1;

tau0=10*Q/(nVar*mean(model.D(:))); % Initial Phromone

alpha=1; % Phromone Exponential Weight

beta=1; % Heuristic Exponential Weight

rho=0.05; % Evaporation Rate

%% Initialization

eta=1./model.D; % Heuristic Information Matrix

tau=tau0*ones(nVar,nVar); % Phromone Matrix

BestCost=zeros(MaxIt,1); % Array to Hold Best Cost Values

% Empty Ant

empty_ant.Tour=[];

empty_ant.Cost=[];

% Ant Colony Matrix

ant=repmat(empty_ant,nAnt,1);

% Best Ant

BestSol.Cost=inf;

%% ACO Main Loop

for it=1:MaxIt

% Move Ants

for k=1:nAnt

ant(k).Tour=randi([1 nVar]);

for l=2:nVar

i=ant(k).Tour(end);

P=tau(i,:).^alpha.*eta(i,:).^beta;

P(ant(k).Tour)=0;

P=P/sum(P);

j=RouletteWheelSelection(P);

ant(k).Tour=[ant(k).Tour j];

end

ant(k).Cost=CostFunction(ant(k).Tour);

if ant(k).Cost

BestSol=ant(k);

end

end

% Update Phromones

for k=1:nAnt

tour=ant(k).Tour;

tour=[tour tour(1)]; %#ok

for l=1:nVar

i=tour(l);

j=tour(l+1);

tau(i,j)=tau(i,j)+Q/ant(k).Cost;

end

end

% Evaporation

tau=(1-rho)*tau;

% Store Best Cost

BestCost(it)=BestSol.Cost;

% Show Iteration Information

disp(['Iteration ' num2str(it) ': Best Cost = ' num2str(BestCost(it))]);

% Plot Solution

figure(1);

PlotSolution(BestSol.Tour,model);

pause(0.01);

end

%% Results

figure;

plot(BestCost,'LineWidth',2);

xlabel('Iteration');

ylabel('Best Cost');

grid on;