The control parameters of MILP

Question

Imanitxka imane 2023-1-9

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1890777-the-control-parameters-of-milp

编辑： Torsten 2023-1-10

Code_Module1.m

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);

LP: Optimal objective value is 12.000000. Optimal solution found. Intlinprog stopped at the root node because the objective value is within a gap tolerance of the optimal value, options.AbsoluteGapTolerance = 0 (the default value). The intcon variables are integer within tolerance, options.IntegerTolerance = 1e-05 (the default value).

%% 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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Answer 1

Torsten 2023-1-9

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1890777-the-control-parameters-of-milp#answer_1144742

Read about "options" under

https://de.mathworks.com/help/optim/ug/intlinprog.html

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Imanitxka imane 2023-1-10

Yes i found LPMaxIterations and RootLPMaxIterations in the link. My question is how can i get this values from the above code ??

Torsten 2023-1-10

编辑：Torsten 2023-1-10

在 MATLAB Online 中打开

I don't understand.

The last column of the options-table under

https://de.mathworks.com/help/optim/ug/intlinprog.html

tells you the default values set in intlinprog for the two parameters.

Or simply use

options = optimoptions('intlinprog')

options =

intlinprog options: Set properties: No options set. Default properties: AbsoluteGapTolerance: 0 BranchRule: 'reliability' ConstraintTolerance: 1.0000e-04 CutGeneration: 'basic' CutMaxIterations: 10 Display: 'iter' Heuristics: 'basic' HeuristicsMaxNodes: 50 IntegerPreprocess: 'basic' IntegerTolerance: 1.0000e-05 LPMaxIterations: 'max(30000,10*(numberOfEqualities+numberOfInequalities+numberOfVariables))' LPOptimalityTolerance: 1.0000e-07 MaxFeasiblePoints: Inf MaxNodes: 10000000 MaxTime: 7200 NodeSelection: 'simplebestproj' ObjectiveCutOff: Inf ObjectiveImprovementThreshold: 0 OutputFcn: [] PlotFcn: [] RelativeGapTolerance: 1.0000e-04 RootLPAlgorithm: 'dual-simplex' RootLPMaxIterations: 'max(30000,10*(numberOfEqualities+numberOfInequalities+numberOfVariables))'

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