Dateien nach "ILP/butadien" hochladen

This commit is contained in:
2026-08-25 13:56:55 +02:00
parent baef275e24
commit 790ab52c02
+281
View File
@@ -0,0 +1,281 @@
import gurobipy as gp
from gurobipy import GRB, Model, quicksum
HYPEREDGES = {
4: (['Butadien', 'Butadien'], []),
5: (['Butadien', 'Butadien'], ['Butadien', 'Butadien']),
7: (['Butadien', 'Butadien'], []),
9: (['p_{0,0}', 'p_{0,0}'], []),
10: (['p_{0,0}', 'p_{0,1}'], ['Butadien', 'Butadien']),
11: (['p_{0,0}', 'p_{0,1}'], []),
13: (['p_{0,0}', 'p_{0,2}'], []),
14: (['p_{0,0}', 'p_{0,2}'], []),
15: (['Butadien', 'p_{0,0}'], ['Butadien']),
16: (['p_{0,1}', 'p_{0,1}'], []),
18: (['p_{0,1}', 'p_{0,1}'], ['Butadien']),
20: (['p_{0,1}', 'p_{0,2}'], ['Butadien']),
21: (['Butadien', 'p_{0,1}'], ['Butadien']),
22: (['p_{0,1}', 'p_{0,2}'], []),
23: (['Butadien', 'p_{0,1}'], []),
24: (['p_{0,2}', 'p_{0,2}'], []),
25: (['Butadien', 'p_{0,2}'], ['Butadien']),
26: (['Butadien', 'p_{0,2}'], []),
28: (['p_{0,0}', 'p_{0,1}'], []),
30: (['Butadien', 'p_{0,0}'], []),
32: (['Butadien', 'p_{0,1}'], []),
33: (['Butadien', 'p_{0,1}'], []),
35: (['Butadien', 'p_{0,1}'], []),
37: (['Butadien', 'p_{0,1}'], []),
38: (['p_{0,3}'], []),
42: (['p_{0,4}'], []),
50: (['p_{0,3}', 'p_{0,3}'], []),
51: (['p_{0,3}', 'p_{0,4}'], []),
52: (['p_{0,3}', 'p_{0,5}'], []),
53: (['p_{0,3}', 'p_{0,6}'], []),
54: (['p_{0,3}', 'p_{0,8}'], []),
55: (['p_{0,3}', 'p_{0,9}'], []),
56: (['p_{0,3}', 'p_{0,10}'], []),
57: (['p_{0,2}', 'p_{0,3}'], []),
58: (['p_{0,0}', 'p_{0,3}'], []),
59: (['Butadien', 'p_{0,3}'], ['Butadien']),
60: (['p_{0,1}', 'p_{0,3}'], []),
61: (['p_{0,4}', 'p_{0,4}'], []),
62: (['p_{0,4}', 'p_{0,5}'], []),
64: (['p_{0,4}', 'p_{0,6}'], []),
65: (['p_{0,2}', 'p_{0,4}'], []),
66: (['p_{0,0}', 'p_{0,4}'], ['Butadien']),
67: (['Butadien', 'p_{0,4}'], []),
68: (['Butadien', 'p_{0,4}'], ['Butadien']),
69: (['p_{0,1}', 'p_{0,4}'], []),
70: (['p_{0,4}', 'p_{0,6}'], []),
71: (['p_{0,4}', 'p_{0,8}'], []),
72: (['p_{0,4}', 'p_{0,9}'], []),
73: (['p_{0,4}', 'p_{0,10}'], []),
74: (['p_{0,2}', 'p_{0,4}'], []),
75: (['p_{0,0}', 'p_{0,4}'], []),
76: (['p_{0,5}', 'p_{0,5}'], []),
77: (['p_{0,5}', 'p_{0,6}'], []),
78: (['p_{0,2}', 'p_{0,5}'], []),
79: (['p_{0,0}', 'p_{0,5}'], ['Butadien']),
80: (['Butadien', 'p_{0,5}'], []),
81: (['Butadien', 'p_{0,5}'], ['Butadien']),
82: (['p_{0,1}', 'p_{0,5}'], []),
83: (['p_{0,1}', 'p_{0,5}'], []),
84: (['p_{0,5}', 'p_{0,6}'], []),
85: (['p_{0,5}', 'p_{0,8}'], []),
86: (['p_{0,5}', 'p_{0,9}'], []),
87: (['p_{0,5}', 'p_{0,10}'], []),
88: (['p_{0,0}', 'p_{0,5}'], []),
89: (['p_{0,6}', 'p_{0,6}'], []),
90: (['p_{0,6}', 'p_{0,8}'], []),
91: (['p_{0,6}', 'p_{0,9}'], []),
92: (['p_{0,6}', 'p_{0,10}'], []),
93: (['p_{0,2}', 'p_{0,6}'], []),
94: (['p_{0,0}', 'p_{0,6}'], []),
95: (['Butadien', 'p_{0,6}'], ['Butadien']),
96: (['Butadien', 'p_{0,6}'], []),
97: (['p_{0,1}', 'p_{0,6}'], ['Butadien']),
98: (['p_{0,1}', 'p_{0,6}'], []),
100: (['p_{0,0}', 'p_{0,6}'], []),
102: (['p_{0,0}', 'p_{0,7}'], []),
103: (['p_{0,8}', 'p_{0,8}'], []),
104: (['p_{0,8}', 'p_{0,9}'], []),
105: (['p_{0,8}', 'p_{0,10}'], []),
106: (['p_{0,2}', 'p_{0,8}'], []),
107: (['p_{0,0}', 'p_{0,8}'], []),
108: (['Butadien', 'p_{0,8}'], ['Butadien']),
109: (['p_{0,1}', 'p_{0,8}'], []),
110: (['p_{0,9}', 'p_{0,9}'], []),
111: (['p_{0,9}', 'p_{0,10}'], []),
112: (['p_{0,2}', 'p_{0,9}'], []),
113: (['p_{0,0}', 'p_{0,9}'], []),
114: (['Butadien', 'p_{0,9}'], ['Butadien']),
115: (['p_{0,1}', 'p_{0,9}'], []),
116: (['p_{0,10}', 'p_{0,10}'], []),
117: (['p_{0,2}', 'p_{0,10}'], []),
118: (['p_{0,0}', 'p_{0,10}'], []),
119: (['Butadien', 'p_{0,10}'], ['Butadien']),
120: (['p_{0,1}', 'p_{0,10}'], []),
121: (['p_{0,0}', 'p_{0,4}'], []),
123: (['p_{0,0}', 'p_{0,4}'], []),
125: (['Butadien', 'p_{0,7}'], []),
130: (['p_{0,14}'], []),
132: (['p_{0,15}'], []),
135: (['p_{0,0}', 'p_{0,11}'], []),
136: (['p_{0,12}', 'p_{0,12}'], []),
137: (['p_{0,12}', 'p_{0,13}'], []),
138: (['p_{0,12}', 'p_{0,14}'], []),
139: (['p_{0,12}', 'p_{0,15}'], []),
140: (['p_{0,12}', 'p_{0,16}'], []),
141: (['p_{0,8}', 'p_{0,12}'], []),
142: (['p_{0,9}', 'p_{0,12}'], []),
143: (['Butadien', 'p_{0,12}'], ['Butadien']),
144: (['p_{0,10}', 'p_{0,12}'], []),
145: (['p_{0,0}', 'p_{0,12}'], []),
146: (['p_{0,1}', 'p_{0,12}'], []),
147: (['p_{0,2}', 'p_{0,12}'], []),
148: (['p_{0,3}', 'p_{0,12}'], []),
149: (['p_{0,4}', 'p_{0,12}'], []),
150: (['p_{0,5}', 'p_{0,12}'], []),
151: (['p_{0,6}', 'p_{0,12}'], []),
152: (['p_{0,13}', 'p_{0,13}'], []),
153: (['Butadien', 'p_{0,13}'], []),
154: (['Butadien', 'p_{0,13}'], ['Butadien']),
155: (['p_{0,0}', 'p_{0,13}'], ['Butadien']),
156: (['p_{0,1}', 'p_{0,13}'], []),
157: (['p_{0,1}', 'p_{0,13}'], []),
158: (['p_{0,2}', 'p_{0,13}'], []),
159: (['p_{0,4}', 'p_{0,13}'], []),
160: (['p_{0,5}', 'p_{0,13}'], []),
161: (['p_{0,6}', 'p_{0,13}'], []),
162: (['p_{0,13}', 'p_{0,14}'], []),
163: (['p_{0,13}', 'p_{0,15}'], []),
164: (['p_{0,13}', 'p_{0,16}'], []),
165: (['p_{0,8}', 'p_{0,13}'], []),
166: (['p_{0,9}', 'p_{0,13}'], []),
167: (['p_{0,10}', 'p_{0,13}'], []),
168: (['p_{0,0}', 'p_{0,13}'], []),
169: (['p_{0,2}', 'p_{0,13}'], []),
170: (['p_{0,3}', 'p_{0,13}'], []),
171: (['p_{0,14}', 'p_{0,14}'], []),
172: (['p_{0,14}', 'p_{0,15}'], []),
173: (['p_{0,14}', 'p_{0,16}'], []),
174: (['p_{0,8}', 'p_{0,14}'], []),
175: (['p_{0,9}', 'p_{0,14}'], []),
176: (['Butadien', 'p_{0,14}'], ['Butadien']),
177: (['p_{0,10}', 'p_{0,14}'], []),
178: (['p_{0,0}', 'p_{0,14}'], []),
179: (['p_{0,1}', 'p_{0,14}'], []),
180: (['p_{0,2}', 'p_{0,14}'], []),
181: (['p_{0,3}', 'p_{0,14}'], []),
182: (['p_{0,4}', 'p_{0,14}'], []),
183: (['p_{0,5}', 'p_{0,14}'], []),
184: (['p_{0,6}', 'p_{0,14}'], []),
185: (['p_{0,15}', 'p_{0,15}'], []),
186: (['p_{0,15}', 'p_{0,16}'], []),
187: (['p_{0,8}', 'p_{0,15}'], []),
188: (['p_{0,9}', 'p_{0,15}'], []),
189: (['Butadien', 'p_{0,15}'], ['Butadien']),
190: (['p_{0,10}', 'p_{0,15}'], []),
191: (['p_{0,0}', 'p_{0,15}'], []),
192: (['p_{0,1}', 'p_{0,15}'], []),
193: (['p_{0,2}', 'p_{0,15}'], []),
194: (['p_{0,3}', 'p_{0,15}'], []),
195: (['p_{0,4}', 'p_{0,15}'], []),
196: (['p_{0,5}', 'p_{0,15}'], []),
197: (['p_{0,6}', 'p_{0,15}'], []),
198: (['p_{0,16}', 'p_{0,16}'], []),
199: (['p_{0,8}', 'p_{0,16}'], []),
200: (['p_{0,9}', 'p_{0,16}'], []),
201: (['Butadien', 'p_{0,16}'], ['Butadien']),
202: (['p_{0,10}', 'p_{0,16}'], []),
203: (['p_{0,0}', 'p_{0,16}'], []),
204: (['p_{0,1}', 'p_{0,16}'], []),
205: (['p_{0,2}', 'p_{0,16}'], []),
206: (['p_{0,3}', 'p_{0,16}'], []),
207: (['p_{0,4}', 'p_{0,16}'], []),
208: (['p_{0,5}', 'p_{0,16}'], []),
209: (['p_{0,6}', 'p_{0,16}'], []),
211: (['Butadien', 'p_{0,11}'], []),
}
VERTICES = ['Butadien', 'p_{0,0}', 'p_{0,1}', 'p_{0,2}', 'p_{0,3}', 'p_{0,4}', 'p_{0,5}', 'p_{0,6}', 'p_{0,7}', 'p_{0,8}', 'p_{0,9}', 'p_{0,10}', 'p_{0,11}', 'p_{0,12}', 'p_{0,13}', 'p_{0,14}', 'p_{0,15}', 'p_{0,16}', 'p_{0,17}', 'p_{0,18}']
VERTICESSMILES = ['C=CC=C', 'C=C', 'C=CC=CC=C', 'C1CCC(C=C)CC=1', 'C(CCC(C=C)CC=C)=C', 'C=CC=CC=CC=C', 'C1CCC(C=CC=C)CC=1', 'C=CC1C=CCCC1', 'C1CCCCC=1', 'C=CC1CC=CCC1C=C', 'C1CCC(C=C)C(C=C)C=1', 'C(C1CC(C=C)C=CC1)=C', 'C1C=CC=CC=1', 'C(CCC1C=CC=CC1)=C', 'C1C(C=CC=C)CCCC=1', 'C=CC(C=C)CCCC=C', 'C=CCCCCC=C', 'C=CC1C=CC(C=C)CC1', 'C1CC2CCCCC2CC=1', 'C1CC2C=CC=CC2CC=1']
FIXED_FLOWS = {
#1: 1,
}
def build_model(name, hyperedges, vertices, nmrlikelihoods, excluded_support=None):
model = Model(name)
x = {e_id: model.addVar(vtype=GRB.INTEGER, lb = 0, name = f"x_{e_id}") for e_id in hyperedges}
b = {e_id: model.addVar(vtype=GRB.BINARY, name = f"b_{e_id}") for e_id in hyperedges}
n = model.addVars(vertices, vtype=GRB.CONTINUOUS, lb = 0.0, ub = 1.0, name = "nmr")
for v, nmr in zip(vertices, nmrlikelihoods):
n[v] = nmr
vertices = set(v for tails, heads in hyperedges.values() for v in tails + heads)
for v in vertices:
inflow = quicksum(x[e_id] for e_id, (_, heads) in hyperedges.items() if v in heads)
outflow = quicksum(x[e_id] for e_id, (tails, _) in hyperedges.items() if v in tails)
model.addConstr(inflow == outflow, name = f"flow_conservation_{v}")
for e_id, value in FIXED_FLOWS.items():
model.addConstr(x[e_id] == value, name = f"fixed_flow_{e_id}")
for e_id in hyperedges:
model.addGenConstrIndicator(b[e_id], 0, x[e_id] == 0, name = f"unused_implies_zero_{e_id}")
model.addConstr(x[e_id] >= b[e_id], name = f"used_implies_positive_flow_{e_id}")
reaction_path = {}
if excluded_support:
model.addConstr(quicksum(b[e_id] for e_id in excluded_support) <= len(excluded_support) - 1, name = "different_hyperedges",)
#Multiplizier den node Wert mit infow + outflow
model.ModelSense = GRB.MAXIMIZE
#Multiply node value with infow or outflow
model.setObjectiveN(
quicksum(n[t_id[0]] * x[e_id] for e_id, (_, t_id) in hyperedges.items() if t_id != []),
index = 0,
priority = 2,
name = "maximize_nmr_similarity",
)
model.setObjectiveN(
quicksum(-1 * x[e_id] for e_id in hyperedges),
index=1,
priority=1,
name="minimize_used_hyperedges",
)
return model, x, b
def positive_entries(variable_dict, threshold = 0.5):
return {e_id: var.X for e_id, var in variable_dict.items() if var.X > threshold}
def print_solution(title, flow_solution, binary_solution, hyperedges):
print(f"\n{title}:")
for e_id in sorted(flow_solution):
flow = flow_solution[e_id]
tails, heads = hyperedges[e_id]
print(f"Hyperedge {e_id}: Flow = {flow}, Tails = {tails}, Heads = {heads}")
print("\nBinary Variables:")
for e_id in sorted(binary_solution):
print(f"Binary Variable b_{e_id} = {binary_solution[e_id]}")
print(f"\nTotal flow: {sum(flow_solution.values())}")
print(f"Number of used hyperedges: {len(binary_solution)}")
def main():
model, x, b = build_model("HypergraphFlow", HYPEREDGES, VERTICES, NMRLIKELYHOODS)
model.optimize()
if model.status != GRB.Status.OPTIMAL:
print("No optimal solution found for the first model.")
return
optimal_solution = positive_entries(x)
optimal_binary_solution = positive_entries(b)
print_solution("Optimal Solution", optimal_solution, optimal_binary_solution, HYPEREDGES)
""" excluded_support = list(optimal_binary_solution.keys())
second_model, x2, b2 = build_model("SecondBestHypergraphFlow", HYPEREDGES, excluded_support=excluded_support,)
second_model.optimize()
if second_model.status == GRB.Status.OPTIMAL:
second_solution = positive_entries(x2)
second_binary_solution = positive_entries(b2)
print_solution("Second Best Solution", second_solution, second_binary_solution, HYPEREDGES, VERTICES)
else:
print("No optimal solution found for the second best model.")
"""
if __name__ == "__main__":
main()