The control parameters of MILP
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Imanitxka imane
am 9 Jan. 2023
Bearbeitet: Torsten
am 10 Jan. 2023
What are the values of the control parameters of the MILP: The applied algorithm ? The tolerances? The stopping criteria? Others...
%% Input data.
P1=1; P2=2; P3=3; P4=1.5;
L1=2; L2=4; L3=3; L4=3;
E1=3; E2=6; E3=5; E4=6;
P=[P1 P1 P1 P1; P2 P2 P2 P2; P3 P3 P3 P3; P4 P4 P4 P4];
%% Write the objective function vector.
f= P(:)';
%% Write the linear inequality constraints.
A=zeros(length(P),numel(P));
itr=0;
for w=1:length(P):numel(P)
h= zeros(1,numel(P));
h(w:w+length(P)-1)= f(w:w+length(P)-1);
itr=itr+1;
A(itr,:)=h;
end
b=[E1;E2;E3;E4];
%% Write the linear equality constraints.
beq=[L1 L2 L3 L4];
Aeq= zeros(length(beq),numel(P));
for i=1:length(beq)
Q= zeros(length(beq),length(P));
Q(i,:)=P(i,:);
q= Q(:)';
Aeq(i,:)=q;
end
%% Write the bound constraints.
lb = zeros(numel(P),1);
ub = ones(numel(P),1);
intcon=1;intcon=2;intcon=3;intcon=4;intcon=5;intcon=6;intcon=7;intcon=8;intcon=9;intcon=10;intcon=11;intcon=12;intcon=13;intcon=14;intcon=15;intcon=16;
%% Call intlinprog.
x = intlinprog(f,intcon,A,b,Aeq,beq,lb,ub);
%% Generat results in form of Matrix
S =reshape(x,length(beq),length(P));
%% Generat results in from of Figure
M=S.*P;
figure (1)
title ('energy consumption ')
stairs(M(1,:))
hold on
stairs(M(2,:))
hold on
stairs(M(3,:))
hold on
stairs(M(4,:))
xlabel('Time','FontSize',16)
ylabel('Power (kW)','FontSize',16)
legend({'A1','A2','A3','A4'})
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Torsten
am 9 Jan. 2023
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