Quickguide MIQQ Problem
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This page is part of the Quickguide Manual. See Quickguide. |
The general formulation in TOMLAB for a mixed-integer quadratic programming problem with quadratic constraints is:
where , , and . is a
scalar. The variables , the index subset of ,
are restricted to be integers.
The following file illustrates how to solve a MIQQ problem in TOMLAB.
File: tomlab/quickguide/miqqQG.m
Open the file for viewing, and execute miqqQG in Matlab.
% miqqQG is a small example problem for defining and solving
% mixed-integer quadratic programming problems with quadratic constraints
% using the TOMLAB format.
Name = 'MIQQ Test Problem 1';
f_Low = -1E5;
x_opt = [];
f_opt = [];
IntVars = logical([0 0 1]); % 3rd variable is integer valued
F = [2 0 0;0 2 0;0 0 2];
A = [1 2 -1;1 -1 1];
b_L = [4 -2]';
b_U = b_L;
c = zeros(3,1);
x_0 = [0 0 0]';
x_L = [-10 -10 -10]';
x_U = [10 10 10]';
x_min = [0 0 -1]';
x_max = [2 2 1]';
% Adding quadratic constraints
clear qc
qc(1).Q = speye(3,3);
qc(1).a = zeros(3,1);
qc(1).r_U = 3;
qc(2).Q = speye(3,3);
qc(2).a = zeros(3,1);
qc(2).r_U = 5;
Prob = miqqAssign(F, c, A, b_L, b_U, x_L, x_U, x_0, qc,...
IntVars, [], [], [],...
Name, [], [],...
x_min, x_max, f_opt, x_opt);
Result = tomRun('cplex', Prob, 1);
% Result = tomRun('minlpBB', Prob, 1);