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Adding MIP solutions to the Optimizer Description At each node of the tree search a variable fixing heuristic is applied to a copy of the problem. If an integer solution is found for the modified (sub)problem then this solution is added to the original problem.
Source Files By clicking on a file name, a preview is opened at the bottom of this page.
Data Files addmipsol.mps
NAME HPW15
ROWS
N cost
G dmd___01
G dmd___02
G dmd___03
G dmd___04
G dmd___05
G nosu__01
G nosu__02
G nosu__03
G nosu__04
G nosu__05
G cont0102
G cont0103
G cont0104
G cont0105
G cont0202
G cont0203
G cont0204
G cont0205
G cont0302
G cont0303
G cont0304
G cont0305
G cont1_01
G cont1_02
G cont1_03
G lx__0101
G lx__0102
G lx__0103
G lx__0104
G lx__0105
G lx__0201
G lx__0202
G lx__0203
G lx__0204
G lx__0205
G lx__0301
G lx__0302
G lx__0303
G lx__0304
G lx__0305
L ux__0101
L ux__0102
L ux__0103
L ux__0104
L ux__0105
L ux__0201
L ux__0202
L ux__0203
L ux__0204
L ux__0205
L ux__0301
L ux__0302
L ux__0303
L ux__0304
L ux__0305
COLUMNS
n___0101 cost -4.200000 nosu__01 2.000000
n___0101 cont0102 1.000000 cont1_01 -1.000000
n___0101 lx__0101 -.850000 ux__0101 -2.000000
n___0201 cost 5.849999 nosu__01 1.750000
n___0201 cont0202 1.000000 cont1_02 -1.000000
n___0201 lx__0201 -1.250000 ux__0201 -1.750000
n___0301 cost -9.000000 nosu__01 4.000000
n___0301 cont0302 1.000000 cont1_03 -1.000000
n___0301 lx__0301 -1.500000 ux__0301 -4.000000
n___0102 cost -2.100000 nosu__02 2.000000
n___0102 cont0102 -1.000000 cont0103 1.000000
n___0102 lx__0102 -.850000 ux__0102 -2.000000
n___0202 cost 2.925000 nosu__02 1.750000
n___0202 cont0202 -1.000000 cont0203 1.000000
n___0202 lx__0202 -1.250000 ux__0202 -1.750000
n___0302 cost -4.500000 nosu__02 4.000000
n___0302 cont0302 -1.000000 cont0303 1.000000
n___0302 lx__0302 -1.500000 ux__0302 -4.000000
n___0103 cost -4.200000 nosu__03 2.000000
n___0103 cont0103 -1.000000 cont0104 1.000000
n___0103 lx__0103 -.850000 ux__0103 -2.000000
n___0203 cost 5.849999 nosu__03 1.750000
n___0203 cont0203 -1.000000 cont0204 1.000000
n___0203 lx__0203 -1.250000 ux__0203 -1.750000
n___0303 cost -9.000000 nosu__03 4.000000
n___0303 cont0303 -1.000000 cont0304 1.000000
n___0303 lx__0303 -1.500000 ux__0303 -4.000000
n___0104 cost -2.100000 nosu__04 2.000000
n___0104 cont0104 -1.000000 cont0105 1.000000
n___0104 lx__0104 -.850000 ux__0104 -2.000000
n___0204 cost 2.925000 nosu__04 1.750000
n___0204 cont0204 -1.000000 cont0205 1.000000
n___0204 lx__0204 -1.250000 ux__0204 -1.750000
n___0304 cost -4.500000 nosu__04 4.000000
n___0304 cont0304 -1.000000 cont0305 1.000000
n___0304 lx__0304 -1.500000 ux__0304 -4.000000
n___0105 cost -4.200000 nosu__05 2.000000
n___0105 cont0105 -1.000000 cont1_01 1.000000
n___0105 lx__0105 -.850000 ux__0105 -2.000000
n___0205 cost 5.849999 nosu__05 1.750000
n___0205 cont0205 -1.000000 cont1_02 1.000000
n___0205 lx__0205 -1.250000 ux__0205 -1.750000
n___0305 cost -9.000000 nosu__05 4.000000
n___0305 cont0305 -1.000000 cont1_03 1.000000
n___0305 lx__0305 -1.500000 ux__0305 -4.000000
s___0101 cost 2.000000 cont1_01 1.000000
s___0201 cost 1.000000 cont1_02 1.000000
s___0301 cost .500000 cont1_03 1.000000
s___0102 cost 2.000000 cont0102 1.000000
s___0202 cost 1.000000 cont0202 1.000000
s___0302 cost .500000 cont0302 1.000000
s___0103 cost 2.000000 cont0103 1.000000
s___0203 cost 1.000000 cont0203 1.000000
s___0303 cost .500000 cont0303 1.000000
s___0104 cost 2.000000 cont0104 1.000000
s___0204 cost 1.000000 cont0204 1.000000
s___0304 cost .500000 cont0304 1.000000
s___0105 cost 2.000000 cont0105 1.000000
s___0205 cost 1.000000 cont0205 1.000000
s___0305 cost .500000 cont0305 1.000000
x___0101 cost 12.000000 dmd___01 1.000000
x___0101 lx__0101 1.000000 ux__0101 1.000000
x___0201 cost 7.800000 dmd___01 1.000000
x___0201 lx__0201 1.000000 ux__0201 1.000000
x___0301 cost 18.000000 dmd___01 1.000000
x___0301 lx__0301 1.000000 ux__0301 1.000000
x___0102 cost 6.000000 dmd___02 1.000000
x___0102 lx__0102 1.000000 ux__0102 1.000000
x___0202 cost 3.900000 dmd___02 1.000000
x___0202 lx__0202 1.000000 ux__0202 1.000000
x___0302 cost 9.000000 dmd___02 1.000000
x___0302 lx__0302 1.000000 ux__0302 1.000000
x___0103 cost 12.000000 dmd___03 1.000000
x___0103 lx__0103 1.000000 ux__0103 1.000000
x___0203 cost 7.800000 dmd___03 1.000000
x___0203 lx__0203 1.000000 ux__0203 1.000000
x___0303 cost 18.000000 dmd___03 1.000000
x___0303 lx__0303 1.000000 ux__0303 1.000000
x___0104 cost 6.000000 dmd___04 1.000000
x___0104 lx__0104 1.000000 ux__0104 1.000000
x___0204 cost 3.900000 dmd___04 1.000000
x___0204 lx__0204 1.000000 ux__0204 1.000000
x___0304 cost 9.000000 dmd___04 1.000000
x___0304 lx__0304 1.000000 ux__0304 1.000000
x___0105 cost 12.000000 dmd___05 1.000000
x___0105 lx__0105 1.000000 ux__0105 1.000000
x___0205 cost 7.800000 dmd___05 1.000000
x___0205 lx__0205 1.000000 ux__0205 1.000000
x___0305 cost 18.000000 dmd___05 1.000000
x___0305 lx__0305 1.000000 ux__0305 1.000000
RHS
RHS00001 dmd___01 15.000000 dmd___02 30.000000
RHS00001 dmd___03 25.000000 dmd___04 40.000000
RHS00001 dmd___05 27.000000 nosu__01 17.250000
RHS00001 nosu__02 34.500000 nosu__03 28.750000
RHS00001 nosu__04 46.000000 nosu__05 31.049999
BOUNDS
UI BND0001 n___0101 12.000000
UI BND0001 n___0201 10.000000
UI BND0001 n___0301 5.000000
UI BND0001 n___0102 12.000000
UI BND0001 n___0202 10.000000
UI BND0001 n___0302 5.000000
UI BND0001 n___0103 12.000000
UI BND0001 n___0203 10.000000
UI BND0001 n___0303 5.000000
UI BND0001 n___0104 12.000000
UI BND0001 n___0204 10.000000
UI BND0001 n___0304 5.000000
UI BND0001 n___0105 12.000000
UI BND0001 n___0205 10.000000
UI BND0001 n___0305 5.000000
UI BND0001 s___0101 12.000000
UI BND0001 s___0201 10.000000
UI BND0001 s___0301 5.000000
UI BND0001 s___0102 12.000000
UI BND0001 s___0202 10.000000
UI BND0001 s___0302 5.000000
UI BND0001 s___0103 12.000000
UI BND0001 s___0203 10.000000
UI BND0001 s___0303 5.000000
UI BND0001 s___0104 12.000000
UI BND0001 s___0204 10.000000
UI BND0001 s___0304 5.000000
UI BND0001 s___0105 12.000000
UI BND0001 s___0205 10.000000
UI BND0001 s___0305 5.000000
ENDATA
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