def compute_all_sections():
# listRounds = decryptScheduleFile(path_to_schedule)
listOfSections = getListOfSectionsCompleted(meeting_history_file,
pre_schedule_waiting_table,
True)
for section in listOfSections.sections:
prev_meetings_matrix = section.meetings_matrix.copy()
prev_waiting_vector = section.waiting_vector.copy()
listRounds = getScheduleFileRounds(len(section.pairs))
referenceMatrix = computeTheoreticalNumberingMatrix(
section, listRounds)
# GENERATE INSTANCE OF THE PROBLEM
instance = BRIDGEInstance(section, prev_meetings_matrix,
prev_waiting_vector, listRounds,
referenceMatrix)
obj, components = Formigueiro.Solve(antCls=BRIDGEAnt,
instance=instance,
numIterations=5000,
numAnts=50,
alpha=3,
beta=0.8,
Q=2)
section.setBestFitnessReached(obj)
res = components
res.sort(key=operator.itemgetter(0))
section.setAssignments(res)
print(
f'THEORETICAL BEST FITNESS: {instance.fitness_best/instance.fitness_best}'
)
print(f'Fitness Overhead: {obj}')
print(
f'THEORETICAL WORST FITNESS: {instance.fitness_worst/instance.fitness_best}'
)
res = components
res.sort(key=operator.itemgetter(0))
# The num of solutions tried is obviously num of iterations * num of ants
print(f'\nNum of Solutions Constructed: {instance.solutionsTried}\n')
print(f'\nThe assignments are: {res}\n')
# Show Results
for section in listOfSections.sections:
print('\n\n')
print(f'Section Fitness: {section.best_fitness}')
print(f'Assignments: {section.assignments}')
final_matrix_vector = compute_final_meeting_matrix_from_solution(
section.listPairNums, listRounds, section.meetings_matrix.copy(),
section.waiting_vector.copy(), section.assignments)
print(f'Final Matrix\n{final_matrix_vector[0]}')
if len(section.pairs) % 2 != 0:
# print(f'Prev Waiting Vector\n{section.waiting_vector}')
print(f'Waiting Vector\n{final_matrix_vector[1]}')
def compute_all_sections():
listRounds = decryptScheduleFile(path_to_schedule)
listOfSections = getListOfSectionsCompleted(meeting_history_file,
pre_schedule_file, False)
for section in listOfSections.sections:
prev_meetings_matrix = section.meetings_matrix.copy()
referenceMatrix = computeTheoreticalNumberingMatrix(
section, listRounds)
# GENERATE INSTANCE OF THE PROBLEM
instance = BRIDGEInstance(section, prev_meetings_matrix, listRounds,
referenceMatrix)
obj, components = Formigueiro.Solve(antCls=BRIDGEAnt,
instance=instance,
numIterations=1000,
numAnts=22,
alpha=1,
beta=1)
section.setBestFitnessReached(obj)
res = components
res.sort(key=operator.itemgetter(0))
section.setAssignments(res)
print(
f'THEORETICAL BEST FITNESS: {instance.fitness_best/instance.fitness_best}'
)
print(f'Fitness Overhead: {obj}')
print(
f'THEORETICAL WORST FITNESS: {instance.fitness_worst/instance.fitness_best}'
)
res = components
res.sort(key=operator.itemgetter(0))
print(f'\nThe assignments are: {res}\n')
# Show Results
for section in listOfSections.sections:
print(f'Section Fitness: {section.best_fitness}')
print(f'Assignments: {section.assignments}')
final_matrix = compute_final_meeting_matrix_from_solution(
listRounds, section.meetings_matrix.copy(), section.assignments)
print(f'Final Matrix\n{final_matrix}')
df.columns = series_cols
for round in listOfRounds.rounds:
for meeting in round.getTablePairs():
# single meeting in schedule file
pair1id = int(meeting[0])
pair2id = int(meeting[1])
df[pair1id][pair2id] += 4
df[pair2id][pair1id] += 4
print('Theoretical Assignment Reference Matrix is:')
print(df)
return df
listRounds = decryptScheduleFile(path_to_schedule)
listOfSections = getListOfSectionsCompleted(meeting_history_file,
pre_schedule_file)
section = listOfSections.sections[0]
prev_meetings_matrix = section.meetings_matrix.copy()
for pair in section.pairs:
print(f'Pair NUM: {pair.num} -- ID: {pair.id}')
referenceMatrix = computeTheoreticalNumberingMatrix(section, listRounds)
# GENERATE INSTANCE OF THE PROBLEM
instance = BRIDGEInstance(section, prev_meetings_matrix, listRounds,
referenceMatrix)
# ANT-COLONY OPTIMIZATION
# BEST FITNESS IN INTERATION ## GLOBAL BEST FITNESS ## BEST FITNESS FROM ALL ANTS
print('BEST ITER FITNESS -- GLOBAL BEST FITNESS -- BEST ANT FITNESS')
async def main():
listOfSections = getListOfSectionsCompleted(meeting_history_file,
pre_schedule_waiting_table,
True)
await compute(listOfSections)