I am currently working on a project (TSP) and am attempting to convert some simulated annealing pseudocode into Java. I have been successful in the past at converting pseudocode into Java code, however I am unable to convert this successfully.
The pseudocode is:
T0(T and a lowercase 0) Starting temperature
Iter Number of iterations
λ The cooling rate
1. Set T = T0 (T and a lowercase 0)
2. Let x = a random solution
3. For i = 0 to Iter-1
4. Let f = fitness of x
5. Make a small change to x to make x’
6. Let f’ = fitness of new point
7. If f’ is worse than f then
8. Let p = PR(f’, f, Ti (T with a lowercase i))
9. If p > UR(0,1) then
10. Undo change (x and f)
11. Else
12. Let x = x’
13. End if
14. Let Ti(T with a lowercase i) + 1 = λTi(λ and T with a lowercase i)
15. End for
Output: The solution x
If somebody could show me a basic mark-up of this in Java I would be extremely grateful - I just can't seem to figure it out!
I am working across multiple classes using a number of functions (which I will not list as it is irrelevant for what I am asking). I already have a smallChange()
method and a fitness
function - could there be a chance that I would need to create a number of different versions of said methods? For example, I have something like:
public static ArrayList<Integer> smallChange(ArrayList<Integer> solution){
//Code is here.
}
Could I possibly need another version of this method which accepts different parameters? Something along the lines of:
public static double smallChange(double d){
//Code is here.
}
All I require is a basic idea of how this would look when written in Java - I will be able to adapt it to my code once I know what it should look like in the correct syntax, but I cannot seem to get past this particular hurdle.
The basic code should look like this:
public class YourClass {
public static Solution doYourStuff(double startingTemperature, int numberOfIterations, double coolingRate) {
double t = startingTemperature;
Solution x = createRandomSolution();
double ti = t;
for (int i = 0; i < numberOfIterations; i ++) {
double f = calculateFitness(x);
Solution mutatedX = mutate(x);
double newF = calculateFitness(mutatedX);
if (newF < f) {
double p = PR(); // no idea what you're talking about here
if (p > UR(0, 1)) { // likewise
// then do nothing
} else {
x = mutatedX;
}
ti = t * coolingRate;
}
}
return x;
}
static class Solution {
// no idea what's in here...
}
}
Now as far as wanting different versions of smallChange() method - totally doable, but you have to read up on inheritance a little bit