ANL-CEEESA/RELOG
1
0
Fork 0
mirror of https://github.com/ANL-CEEESA/RELOG.git synced 2025-12-06 07:48:50 -06:00
Code Issues Packages Projects Releases Wiki Activity

Update output; fix typo

Browse Source
This commit is contained in:
Alinson S. Xavier
2020-06-25 16:49:45 -05:00
parent 583208aa53
commit 046ee52d9d
3 changed files with 274 additions and 179 deletions
Download Patch File Download Diff File Expand all files Collapse all files

362
instances/solutions/s1.json
View File

@@ -1,20 +1,30 @@
{ {
"Energy": {
"Plants (GJ)": [
568.6368,
521.2504
],
"Transportation (GJ)": [
3.120910400232,
2.860834533546
]
},
"Costs": { "Costs": {
"Variable operating ($)": [ "Variable operating ($)": [
216672.818, 216672.818,
216672.818 216672.818
], ],
"Transportation ($)": [ "Transportation ($)": [
714499.27483131, 714499.2748313101,
714499.27483131 714499.2748313101
], ],
"Disposal ($)": [ "Disposal ($)": [
-20.0, -20.0,
-20.0 -20.0
], ],
"Total ($)": [ "Total ($)": [
935782.09283131, 935782.0928313101,
935396.86883131 935396.8688313101
], ],
"Fixed operating ($)": [ "Fixed operating ($)": [
130.0, 130.0,
@@ -32,6 +42,25 @@
"Plants": { "Plants": {
"F3": { "F3": {
"L5": { "L5": {
"Opening cost ($)": [
0.0,
0.0
],
"Expansion cost ($)": [
0.0,
0.0
],
"Longitude (deg)": 100.0,
"Energy (GJ)": [
0.0,
0.0
],
"Total output": {},
"Capacity (tonne)": [
15000.0,
15000.0
],
"Latitude (deg)": 100.0,
"Output": { "Output": {
"Send": {}, "Send": {},
"Dispose": {} "Dispose": {}
@@ -40,25 +69,10 @@
757.3824000000001, 757.3824000000001,
757.3824000000001 757.3824000000001
], ],
"Total output": {},
"Expansion cost ($)": [
0.0,
0.0
],
"Capacity (tonne)": [
15000.0,
15000.0
],
"Fixed operating cost ($)": [ "Fixed operating cost ($)": [
0.0, 0.0,
0.0 0.0
], ],
"Longitude (deg)": 100.0,
"Latitude (deg)": 100.0,
"Opening cost ($)": [
0.0,
0.0
],
"Input": { "Input": {
"F2": { "F2": {
"L4": { "L4": {
@@ -67,6 +81,10 @@
757.3824000000001, 757.3824000000001,
757.3824000000001 757.3824000000001
], ],
"Transportation energy (J)": [
0.0,
0.0
],
"Transportation cost ($)": [ "Transportation cost ($)": [
116792.36127216002, 116792.36127216002,
116792.36127216002 116792.36127216002
@@ -84,6 +102,34 @@
}, },
"F1": { "F1": {
"L1": { "L1": {
"Opening cost ($)": [
500.0,
0.0
],
"Expansion cost ($)": [
0.0,
750.0
],
"Longitude (deg)": 0.0,
"Energy (GJ)": [
120.0,
110.0
],
"Total output": {
"P2": [
200.0,
200.0
],
"P3": [
500.0,
500.0
]
},
"Capacity (tonne)": [
1000.0,
1000.0
],
"Latitude (deg)": 0.0,
"Output": { "Output": {
"Send": { "Send": {
"P2": { "P2": {
@@ -140,45 +186,25 @@
1000.0, 1000.0,
1000.0 1000.0
], ],
"Total output": {
"P2": [
200.0,
200.0
],
"P3": [
500.0,
500.0
]
},
"Expansion cost ($)": [
0.0,
750.0
],
"Capacity (tonne)": [
1000.0,
1000.0
],
"Fixed operating cost ($)": [ "Fixed operating cost ($)": [
30.0, 30.0,
30.0 30.0
], ],
"Longitude (deg)": 0.0,
"Latitude (deg)": 0.0,
"Opening cost ($)": [
500.0,
0.0
],
"Input": { "Input": {
"Origin": { "Origin": {
"C3": { "C3": {
"Distance (km)": 8889.75, "Distance (km)": 8889.75,
"Amount (tonne)": [ "Amount (tonne)": [
212.97000000000003, 212.97,
212.97000000000003 212.97
],
"Transportation energy (J)": [
227190.00689999998,
208257.506325
], ],
"Transportation cost ($)": [ "Transportation cost ($)": [
28398.750862500005, 28398.7508625,
28398.750862500005 28398.7508625
], ],
"Longitude (deg)": 76.0, "Longitude (deg)": 76.0,
"Variable operating cost ($)": [ "Variable operating cost ($)": [
@@ -190,34 +216,42 @@
"C7": { "C7": {
"Distance (km)": 8526.39, "Distance (km)": 8526.39,
"Amount (tonne)": [ "Amount (tonne)": [
246.62, 246.61999999999998,
246.62 246.61999999999998
],
"Transportation energy (J)": [
252333.39621599994,
231305.61319799995
], ],
"Transportation cost ($)": [ "Transportation cost ($)": [
31541.674527, 31541.674526999996,
31541.674527 31541.674526999996
], ],
"Longitude (deg)": 83.0, "Longitude (deg)": 83.0,
"Variable operating cost ($)": [ "Variable operating cost ($)": [
7398.6, 7398.599999999999,
7398.6 7398.599999999999
], ],
"Latitude (deg)": 30.0 "Latitude (deg)": 30.0
}, },
"C5": { "C5": {
"Distance (km)": 9148.52, "Distance (km)": 9148.52,
"Amount (tonne)": [ "Amount (tonne)": [
510.3299999999999, 510.33,
510.3299999999999 510.33
],
"Transportation energy (J)": [
560251.705392,
513564.06327600003
], ],
"Transportation cost ($)": [ "Transportation cost ($)": [
70031.46317399999, 70031.463174,
70031.46317399999 70031.463174
], ],
"Longitude (deg)": 92.0, "Longitude (deg)": 92.0,
"Variable operating cost ($)": [ "Variable operating cost ($)": [
15309.899999999998, 15309.9,
15309.899999999998 15309.9
], ],
"Latitude (deg)": 32.0 "Latitude (deg)": 32.0
}, },
@@ -227,6 +261,10 @@
30.08, 30.08,
30.08 30.08
], ],
"Transportation energy (J)": [
29603.087615999993,
27136.163647999994
],
"Transportation cost ($)": [ "Transportation cost ($)": [
3700.385951999999, 3700.385951999999,
3700.385951999999 3700.385951999999
@@ -242,6 +280,34 @@
} }
}, },
"L2": { "L2": {
"Opening cost ($)": [
1000.0,
0.0
],
"Expansion cost ($)": [
0.0,
3364.776
],
"Longitude (deg)": 0.5,
"Energy (GJ)": [
448.6368,
411.2504
],
"Total output": {
"P2": [
747.7280000000001,
747.7280000000001
],
"P3": [
1869.32,
1869.32
]
},
"Capacity (tonne)": [
3738.64,
3738.64
],
"Latitude (deg)": 0.5,
"Output": { "Output": {
"Send": { "Send": {
"P2": { "P2": {
@@ -249,8 +315,8 @@
"L4": { "L4": {
"Distance (km)": 43.35, "Distance (km)": 43.35,
"Amount (tonne)": [ "Amount (tonne)": [
747.728, 747.7280000000001,
747.728 747.7280000000001
], ],
"Longitude (deg)": 0.2, "Longitude (deg)": 0.2,
"Latitude (deg)": 0.75 "Latitude (deg)": 0.75
@@ -277,34 +343,10 @@
3738.64, 3738.64,
3738.64 3738.64
], ],
"Total output": {
"P2": [
747.728,
747.728
],
"P3": [
1869.32,
1869.32
]
},
"Expansion cost ($)": [
0.0,
3364.7759999999994
],
"Capacity (tonne)": [
3738.6399999999994,
3738.6399999999994
],
"Fixed operating cost ($)": [ "Fixed operating cost ($)": [
50.0, 50.0,
50.0 50.0
], ],
"Longitude (deg)": 0.5,
"Latitude (deg)": 0.5,
"Opening cost ($)": [
999.9999999999999,
0.0
],
"Input": { "Input": {
"Origin": { "Origin": {
"C1": { "C1": {
@@ -313,6 +355,10 @@
934.56, 934.56,
934.56 934.56
], ],
"Transportation energy (J)": [
114103.047168,
104594.459904
],
"Transportation cost ($)": [ "Transportation cost ($)": [
14262.880895999999, 14262.880895999999,
14262.880895999999 14262.880895999999
@@ -330,6 +376,10 @@
198.95, 198.95,
198.95 198.95
], ],
"Transportation energy (J)": [
51698.430779999995,
47390.228214999996
],
"Transportation cost ($)": [ "Transportation cost ($)": [
6462.303847499999, 6462.303847499999,
6462.303847499999 6462.303847499999
@@ -347,6 +397,10 @@
706.17, 706.17,
706.17 706.17
], ],
"Transportation energy (J)": [
459386.18243999995,
421104.00057
],
"Transportation cost ($)": [ "Transportation cost ($)": [
57423.272805, 57423.272805,
57423.272805 57423.272805
@@ -364,6 +418,10 @@
471.66, 471.66,
471.66 471.66
], ],
"Transportation energy (J)": [
373301.15558400005,
342192.72595200007
],
"Transportation cost ($)": [ "Transportation cost ($)": [
46662.64444800001, 46662.64444800001,
46662.64444800001 46662.64444800001
@@ -381,6 +439,10 @@
536.52, 536.52,
536.52 536.52
], ],
"Transportation energy (J)": [
387204.123312,
354937.113036
],
"Transportation cost ($)": [ "Transportation cost ($)": [
48400.515413999994, 48400.515413999994,
48400.515413999994 48400.515413999994
@@ -398,6 +460,10 @@
352.19, 352.19,
352.19 352.19
], ],
"Transportation energy (J)": [
118425.43713599998,
108556.65070799999
],
"Transportation cost ($)": [ "Transportation cost ($)": [
14803.179642, 14803.179642,
14803.179642 14803.179642
@@ -415,6 +481,10 @@
538.59, 538.59,
538.59 538.59
], ],
"Transportation energy (J)": [
547413.827688,
501796.008714
],
"Transportation cost ($)": [ "Transportation cost ($)": [
68426.728461, 68426.728461,
68426.728461 68426.728461
@@ -432,6 +502,34 @@
}, },
"F2": { "F2": {
"L4": { "L4": {
"Opening cost ($)": [
3000.0,
0.0
],
"Expansion cost ($)": [
0.0,
0.0
],
"Longitude (deg)": 0.2,
"Energy (GJ)": [
0.0,
0.0
],
"Total output": {
"P4": [
757.3824000000001,
757.3824000000001
],
"P3": [
47.336400000000005,
47.336400000000005
]
},
"Capacity (tonne)": [
10000.0,
10000.0
],
"Latitude (deg)": 0.75,
"Output": { "Output": {
"Send": { "Send": {
"P4": { "P4": {
@@ -464,37 +562,13 @@
"Dispose": {} "Dispose": {}
}, },
"Total input (tonne)": [ "Total input (tonne)": [
946.728, 946.7280000000001,
946.728 946.7280000000001
],
"Total output": {
"P4": [
757.3824000000001,
757.3824000000001
],
"P3": [
47.336400000000005,
47.336400000000005
]
},
"Expansion cost ($)": [
0.0,
0.0
],
"Capacity (tonne)": [
10000.0,
10000.0
], ],
"Fixed operating cost ($)": [ "Fixed operating cost ($)": [
50.0, 50.0,
50.0 50.0
], ],
"Longitude (deg)": 0.2,
"Latitude (deg)": 0.75,
"Opening cost ($)": [
2999.9999999999995,
0.0
],
"Input": { "Input": {
"F1": { "F1": {
"L1": { "L1": {
@@ -503,6 +577,10 @@
199.0, 199.0,
199.0 199.0
], ],
"Transportation energy (J)": [
0.0,
0.0
],
"Transportation cost ($)": [ "Transportation cost ($)": [
341.7626, 341.7626,
341.7626 341.7626
@@ -517,17 +595,21 @@
"L2": { "L2": {
"Distance (km)": 43.35, "Distance (km)": 43.35,
"Amount (tonne)": [ "Amount (tonne)": [
747.728, 747.7280000000001,
747.728 747.7280000000001
],
"Transportation energy (J)": [
0.0,
0.0
], ],
"Transportation cost ($)": [ "Transportation cost ($)": [
648.280176, 648.2801760000001,
648.280176 648.2801760000001
], ],
"Longitude (deg)": 0.5, "Longitude (deg)": 0.5,
"Variable operating cost ($)": [ "Variable operating cost ($)": [
37386.399999999994, 37386.4,
37386.399999999994 37386.4
], ],
"Latitude (deg)": 0.5 "Latitude (deg)": 0.5
} }
@@ -537,6 +619,25 @@
}, },
"F4": { "F4": {
"L6": { "L6": {
"Opening cost ($)": [
0.0,
0.0
],
"Expansion cost ($)": [
0.0,
0.0
],
"Longitude (deg)": 50.0,
"Energy (GJ)": [
0.0,
0.0
],
"Total output": {},
"Capacity (tonne)": [
10000.0,
10000.0
],
"Latitude (deg)": 50.0,
"Output": { "Output": {
"Send": {}, "Send": {},
"Dispose": {} "Dispose": {}
@@ -545,25 +646,10 @@
2415.6564, 2415.6564,
2415.6564 2415.6564
], ],
"Total output": {},
"Expansion cost ($)": [
0.0,
0.0
],
"Capacity (tonne)": [
10000.0,
10000.0
],
"Fixed operating cost ($)": [ "Fixed operating cost ($)": [
0.0, 0.0,
0.0 0.0
], ],
"Longitude (deg)": 50.0,
"Latitude (deg)": 50.0,
"Opening cost ($)": [
0.0,
0.0
],
"Input": { "Input": {
"F1": { "F1": {
"L1": { "L1": {
@@ -572,6 +658,10 @@
499.0, 499.0,
499.0 499.0
], ],
"Transportation energy (J)": [
0.0,
0.0
],
"Transportation cost ($)": [ "Transportation cost ($)": [
42997.644875000005, 42997.644875000005,
42997.644875000005 42997.644875000005
@@ -589,6 +679,10 @@
1869.32, 1869.32,
1869.32 1869.32
], ],
"Transportation energy (J)": [
0.0,
0.0
],
"Transportation cost ($)": [ "Transportation cost ($)": [
159567.258185, 159567.258185,
159567.258185 159567.258185
@@ -608,6 +702,10 @@
47.336400000000005, 47.336400000000005,
47.336400000000005 47.336400000000005
], ],
"Transportation energy (J)": [
0.0,
0.0
],
"Transportation cost ($)": [ "Transportation cost ($)": [
4038.1676941500004, 4038.1676941500004,
4038.1676941500004 4038.1676941500004

87
instances/solutions/s1.log
View File

@@ -1,53 +1,50 @@
Welcome to the CBC MILP Solver Gurobi Optimizer version 9.0.0 build v9.0.0rc2 (linux64)
Version: 2.10.3 Optimize a model with 124 rows, 141 columns and 400 nonzeros
Build Date: Oct 7 2019 Model fingerprint: 0x46af87f0
Variable types: 117 continuous, 24 integer (24 binary)
Coefficient statistics:
Matrix range [5e-02, 2e+04]
Objective range [9e-01, 3e+03]
Bounds range [1e+00, 1e+08]
RHS range [3e+01, 2e+04]
Presolve removed 98 rows and 107 columns
Presolve time: 0.00s
Presolved: 26 rows, 34 columns, 74 nonzeros
Variable types: 28 continuous, 6 integer (6 binary)
command line - Cbc_C_Interface -solve -quit (default strategy 1) Root relaxation: objective 1.870636e+06, 10 iterations, 0.00 seconds
Continuous objective value is 1.86768e+06 - 0.00 seconds
Cgl0003I 7 fixed, 0 tightened bounds, 9 strengthened rows, 0 substitutions
Cgl0003I 0 fixed, 0 tightened bounds, 2 strengthened rows, 0 substitutions
Cgl0003I 0 fixed, 0 tightened bounds, 1 strengthened rows, 0 substitutions
Cgl0004I processed model has 35 rows, 55 columns (9 integer (9 of which binary)) and 211 elements
Cbc0012I Integer solution of 1871179 found by DiveCoefficient after 0 iterations and 0 nodes (0.00 seconds)
Cbc0038I Full problem 35 rows 55 columns, reduced to 18 rows 37 columns
Cbc0006I The LP relaxation is infeasible or too expensive
Cbc0013I At root node, 0 cuts changed objective from 1869627.3 to 1871179 in 1 passes
Cbc0014I Cut generator 0 (Probing) - 0 row cuts average 0.0 elements, 1 column cuts (1 active) in 0.000 seconds - new frequency is 1
Cbc0014I Cut generator 1 (Gomory) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0014I Cut generator 2 (Knapsack) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0014I Cut generator 3 (Clique) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0014I Cut generator 4 (MixedIntegerRounding2) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0014I Cut generator 5 (FlowCover) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0014I Cut generator 6 (TwoMirCuts) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0014I Cut generator 7 (ZeroHalf) - 0 row cuts average 0.0 elements, 0 column cuts (0 active) in 0.000 seconds - new frequency is -100
Cbc0001I Search completed - best objective 1871178.961662621, took 2 iterations and 0 nodes (0.01 seconds)
Cbc0035I Maximum depth 0, 5 variables fixed on reduced cost
Cuts at root node changed objective from 1.86963e+06 to 1.87118e+06
Probing was tried 1 times and created 1 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
Gomory was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
Knapsack was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
Clique was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
MixedIntegerRounding2 was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
FlowCover was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
TwoMirCuts was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
ZeroHalf was tried 0 times and created 0 cuts of which 0 were active after adding rounds of cuts (0.000 seconds)
Result - Optimal solution found Nodes | Current Node | Objective Bounds | Work
Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time
Objective value: 1871178.96166262 0 0 1870636.06 0 2 - 1870636.06 - - 0s
Enumerated nodes: 0 H 0 0 1871178.9617 1870636.06 0.03% - 0s
Total iterations: 2
Time (CPU seconds): 0.01
Time (Wallclock seconds): 0.01
Total time (CPU seconds): 0.01 (Wallclock seconds): 0.01 Explored 1 nodes (10 simplex iterations) in 0.00 seconds
Thread count was 8 (of 80 available processors)
Coin0506I Presolve 24 (-100) rows, 38 (-103) columns and 164 (-236) elements Solution count 1: 1.87118e+06
Clp0006I 0 Obj 1590708.5 Primal inf 13041.309 (4) Dual inf 429.24088 (24)
Clp0006I 16 Obj 1871179 Optimal solution found (tolerance 1.00e-02)
Clp0000I Optimal - objective value 1871179 Best objective 1.871178961663e+06, best bound 1.870636062997e+06, gap 0.0290%
Coin0511I After Postsolve, objective 1871179, infeasibilities - dual 0 (0), primal 0 (0) Gurobi Optimizer version 9.0.0 build v9.0.0rc2 (linux64)
Clp0032I Optimal objective 1871178.962 - 16 iterations time 0.002, Presolve 0.00 Optimize a model with 124 rows, 141 columns and 400 nonzeros
Model fingerprint: 0x133a97e7
Coefficient statistics:
Matrix range [5e-02, 2e+04]
Objective range [9e-01, 3e+03]
Bounds range [1e+00, 1e+08]
RHS range [3e+01, 2e+04]
Presolve removed 115 rows and 110 columns
Presolve time: 0.00s
Presolved: 9 rows, 31 columns, 94 nonzeros
Iteration Objective Primal Inf. Dual Inf. Time
0 1.0296026e+06 1.950922e+03 0.000000e+00 0s
7 1.8711790e+06 0.000000e+00 0.000000e+00 0s
Solved in 7 iterations and 0.00 seconds
Optimal objective 1.871178962e+06
Reading s1.json... Reading s1.json...
Building graph... Building graph...
Building optimization model... Building optimization model...

4
src/model.jl
View File

@@ -315,7 +315,7 @@ function get_solution(model::ManufacturingModel)
"Longitude (deg)" => a.source.location.longitude, "Longitude (deg)" => a.source.location.longitude,
"Transportation cost (\$)" => a.source.product.transportation_cost .* vals .* a.values["distance"], "Transportation cost (\$)" => a.source.product.transportation_cost .* vals .* a.values["distance"],
"Variable operating cost (\$)" => plant.sizes[1].variable_operating_cost .* vals, "Variable operating cost (\$)" => plant.sizes[1].variable_operating_cost .* vals,
"Energy (J)" => vals .* a.values["distance"] .* a.source.product.transportation_energy, "Transportation energy (J)" => vals .* a.values["distance"] .* a.source.product.transportation_energy,
) )
if a.source.location isa CollectionCenter if a.source.location isa CollectionCenter
plant_name = "Origin" plant_name = "Origin"
@@ -332,7 +332,7 @@ function get_solution(model::ManufacturingModel)
plant_dict["Total input (tonne)"] += vals plant_dict["Total input (tonne)"] += vals
output["Costs"]["Transportation (\$)"] += dict["Transportation cost (\$)"] output["Costs"]["Transportation (\$)"] += dict["Transportation cost (\$)"]
output["Costs"]["Variable operating (\$)"] += dict["Variable operating cost (\$)"] output["Costs"]["Variable operating (\$)"] += dict["Variable operating cost (\$)"]
output["Energy"]["Transportation (GJ)"] += dict["Energy (J)"] / 1e output["Energy"]["Transportation (GJ)"] += dict["Transportation energy (J)"] / 1e6
end end
plant_dict["Energy (GJ)"] = plant_dict["Total input (tonne)"] .* plant.energy plant_dict["Energy (GJ)"] = plant_dict["Total input (tonne)"] .* plant.energy