Difficulty implementing simulated annealing algorithm
1 Ansicht (letzte 30 Tage)
Ältere Kommentare anzeigen
Abbi Hashem
am 25 Jun. 2019
Kommentiert: Abbi Hashem
am 25 Jun. 2019
While there are exaplanations for this (see the following link), I couldn't figure out exactly how to implement it:
This is the code that I am typing, based on the info in the link:
type simple_objective
function y = simple_objective(x)
x1 = x(1);
x2 = x(2);
y = (4-2.1.*x1.^2+x1.^4./3).*x1.^2+x1.*x2+(-4+4.*x2.^2).*x2.^2;
ObjectiveFunction = @simple_objective;
x0 = [0.5 0.5]; % Starting point
rng default % For reproducibility
[x,fval,exitFlag,output] = simulannealbnd(ObjectiveFunction,x0)
I don't understand what exactly is wrong with that code (I keep getting an error). I am very new to MATLAB and would appreciate any help!
0 Kommentare
Akzeptierte Antwort
Stephan
am 25 Jun. 2019
rng default % For reproducibility
x0 = [0.5 0.5]; % Starting point
[x,y,flag,output] = simulannealbnd(@simple_objective,x0)
function y = simple_objective(x)
x1 = x(1);
x2 = x(2);
y = (4-2.1.*x1.^2+x1.^4./3).*x1.^2+x1.*x2+(-4+4.*x2.^2).*x2.^2;
end
3 Kommentare
Stephan
am 25 Jun. 2019
did you exactly copy my code? it runs for me with result:
Optimization terminated: change in best function value less than options.FunctionTolerance.
x =
-0.0896 0.7130
y =
-1.0316
flag =
1
output =
struct with fields:
iterations: 2948
funccount: 2971
message: 'Optimization terminated: change in best function value less than options.FunctionTolerance.'
rngstate: [1×1 struct]
problemtype: 'unconstrained'
temperature: [2×1 double]
totaltime: 1.1943
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Simulated Annealing finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!