Filter löschen
Filter löschen

Use MATLAB to write code to solve the problem

2 Ansichten (letzte 30 Tage)
Tran Paul
Tran Paul am 17 Sep. 2018
Kommentiert: Tran Paul am 17 Sep. 2018
find min f(x1,x2,x3,x4) = 0.1x(1)^2+0.4x(2)^2+0.5x(3)^2+0.2x(4)^2+x(1)+2X(2)+3x(3)+x(4)+6
Find min f(x1,x2,x3,x4) and the corresponding values of x1, x2, x3, x4 subject to
2x1 + x2 + 2x3 + x4 = 5
x1 + 2x2 + 4x3 + 5x4 ≤ −21
18 x1 ≤ 8
20 x2 ≤ 16
14 x3 ≤ 13
15 x4 ≤ 5
  4 Kommentare
Aquatris
Aquatris am 17 Sep. 2018
There is no right or wrong way of choosing initial point, as long as initial point satisfies the constraints. One method is to solve the problem using different initial points that are randomly chosen and picking the solution that gives you the minimum function value.
Otherwise you can consider using global optimization techniques, such as genetic algorithm and particle swarm optimization.
Tran Paul
Tran Paul am 17 Sep. 2018
I got it, thank you so much

Melden Sie sich an, um zu kommentieren.

Antworten (1)

SYED ABOU ILTAF HUSSAIN
SYED ABOU ILTAF HUSSAIN am 17 Sep. 2018
here is the code for your problem
  1 Kommentar
Tran Paul
Tran Paul am 17 Sep. 2018
Thank you so much. But I want to ask you why don't we made the code following the linear equality and inequality constraints. Either your codes or my code, we got the same solutions.
if true
% code
end

Melden Sie sich an, um zu kommentieren.

Kategorien

Mehr zu Nonlinear Optimization 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!

Translated by