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main.py
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import random as rnd
import numpy as np
import prettytable
POPULATION_SIZE = 9
NUMB_OF_ELITE_SCHEDULES = 1
TOURNAMENT_SELECTION_SIZE = 3
MUTATION_RATE = 0.1
class Department:
def __init__(self, name, courses):
self._name = name
self._courses = courses
def get_name(self):
return self._name
def get_courses(self):
return self._courses
class Class:
def __init__(self, id, dept, course):
self._id = id
self._dept = dept
self._course = course
self._instructor = None
self._meetingTime = None
self._room = None
def get_id(self):
return self._id
def get_dept(self):
return self._dept
def get_course(self):
return self._course
def get_instructor(self):
return self._instructor
def get_meetingTime(self):
return self._meetingTime
def get_room(self):
return self._room
def set_instructor(self, instructor):
self._instructor = instructor
def set_meetingTime(self, meetingTime):
self._meetingTime = meetingTime
def set_room(self, room):
self._room = room
def __str__(self) -> str:
return str(self._dept.get_name()) + ',' + str(self._course.get_number()) + ',' + \
str(self._room.get_number()) + ',' + str(self._instructor.get_id()) + ',' + str(
self._meetingTime.get_id())
class Course:
def __init__(self, number, name, instructors, maxNumberOfStudents):
self._number = number
self._name = name
self._instructors = instructors
self._maxNumberOfStudents = maxNumberOfStudents
def get_number(self):
return self._number
def get_name(self):
return self._name
def get_instructors(self):
return self._instructors
def get_maxNumbOfStudents(self):
return self._maxNumberOfStudents
def __str__(self):
return self._name
class Instructor:
def __init__(self, id, name):
self._id = id
self._name = name
def get_id(self):
return self._id
def get_name(self):
return self._name
def __str__(self):
return self._name
class Room:
def __init__(self, number, seatingCapacity):
self._number = number
self._seatingCapacity = seatingCapacity
def get_number(self):
return self._number
def get_seatingCapacity(self):
return self._seatingCapacity
class MeetingTime:
def __init__(self, id, time):
self._id = id
self._time = time
def get_id(self):
return self._id
def get_time(self):
return self._time
class Data:
ROOMS = [['R1', 25], ['R2', 45], ['R3', 35]]
MEETING_TIMES = [['MT1', 'MWF 09:00 - 10:00'],
['MT2', 'MWF 10:00 - 11:00'],
['MT3', 'TTH 09:00 - 10:30'],
['MT4', 'TTH 10:30 - 12:00']]
INSTRUCTORS = [['I1', 'Dr James Web'],
['I2', 'Dr Mike Brown'],
['I3', 'Dr Steve Day'],
['I4', 'Dr Jane Doe']]
def __init__(self):
self._rooms = []
self._meetingTimes = []
self._instructors = []
for i in range(len(self.ROOMS)):
self._rooms.append(Room(self.ROOMS[i][0], self.ROOMS[i][1]))
for i in range(len(self.MEETING_TIMES)):
self._meetingTimes.append(MeetingTime(self.MEETING_TIMES[i][0], self.MEETING_TIMES[i][1]))
for i in range(len(self.INSTRUCTORS)):
self._instructors.append(Instructor(self.INSTRUCTORS[i][0], self.INSTRUCTORS[i][1]))
course1 = Course("C1", "325K", [self._instructors[0], self._instructors[1]], 25)
course2 = Course("C2", "320K", [self._instructors[0], self._instructors[1]], 35)
course3 = Course("C3", "462k", [self._instructors[0], self._instructors[1]], 25)
course4 = Course("C4", "464K", [self._instructors[2], self._instructors[3]], 30)
course5 = Course("C5", "360C", [self._instructors[3]], 35)
course6 = Course("C6", "303K", [self._instructors[0], self._instructors[2]], 45)
course7 = Course("C7", "303L", [self._instructors[1], self._instructors[3]], 45)
self._courses = [course1, course2, course3, course4, course5, course6, course7]
dept1 = Department("MATH", [course1, course3])
dept2 = Department("EE", [course2, course4, course5])
dept3 = Department("PHY", [course6, course7])
self._depts = [dept1, dept2, dept3]
self._numberOfClasses = 0
for i in range(len(self._depts)):
self._numberOfClasses += len(self._depts[i].get_courses())
def get_rooms(self):
return self._rooms
def get_instructors(self):
return self._instructors
def get_courses(self):
return self._courses
def get_depts(self):
return self._depts
def get_meetingTimes(self):
return self._meetingTimes
class Schedule:
def __init__(self):
self._data = data
self._classes = []
self._numOfConflicts = 0
self._fitness = -1
self._classNumb = 0
self._isFitnessChanged = True
def get_classes(self):
self._isFitnessChanged = True
return self._classes
def get_numOfConflicts(self):
return self._numOfConflicts
def get_fitness(self):
if self._isFitnessChanged:
self._fitness = self.calculate_fitness()
self._isFitnessChanged = False
return self._fitness
def initialize(self):
depts = self._data.get_depts()
for i in range(len(depts)):
courses = depts[i].get_courses()
for j in range(len(courses)):
new_class = Class(self._classNumb, depts[i], courses[j])
self._classNumb += 1
new_class.set_meetingTime(data.get_meetingTimes()[rnd.randrange(0, len(data.get_meetingTimes()))])
new_class.set_room(data.get_rooms()[rnd.randrange(0, len(data.get_rooms()))])
new_class.set_instructor(
courses[j].get_instructors()[rnd.randrange(0, len(courses[j].get_instructors()))])
self._classes.append(new_class)
return self
def calculate_fitness(self):
self._numOfConflicts = 0
classes = self.get_classes()
for i in range(len(classes)):
if classes[i].get_room().get_seatingCapacity() < classes[i].get_course().get_maxNumbOfStudents():
self._numOfConflicts += 1
for j in range(len(classes)):
if j >= i:
if \
classes[i].get_meetingTime() == classes[j].get_meetingTime() and classes[i].get_id() != \
classes[j].get_id():
if classes[i].get_room() == classes[j].get_room():
self._numOfConflicts += 1
if classes[i].get_instructor() == classes[j].get_instructor():
self._numOfConflicts += 1
return 1 / (1.0 * (self._numOfConflicts + 1))
def __str__(self) -> str:
return_value = ''
for i in range(len(self._classes) - 1):
return_value += str(self._classes[i]) + ', '
return_value += str(self._classes[len(self._classes) - 1])
return return_value
class Population:
def __init__(self, size):
self._size = size
self._data = data
self._schedules = []
for i in range(size):
self._schedules.append(Schedule().initialize())
def get_schedules(self):
return self._schedules
class GeneticAlgorithm:
def evolve(self, population):
return self._mutate_population(self._crossover_population(population))
def _crossover_population(self, pop):
crossover_pop = Population(0)
for i in range(NUMB_OF_ELITE_SCHEDULES):
crossover_pop.get_schedules().append(pop.get_schedules()[i])
i = NUMB_OF_ELITE_SCHEDULES
while i < POPULATION_SIZE:
schedule1 = self._select_tournament_population(pop).get_schedules()[0]
schedule2 = self._select_tournament_population(pop).get_schedules()[0]
crossover_pop.get_schedules().append(self._crossover_schedule(schedule1, schedule2))
i += 1
return crossover_pop
def _mutate_population(self, population):
for i in range(NUMB_OF_ELITE_SCHEDULES, POPULATION_SIZE):
self._mutate_schedule(population.get_schedules()[i])
return population
def _crossover_schedule(self, schedule1, schedule2):
self.is_not_used()
crossover_schedule = Schedule().initialize()
for i in range(0, len(crossover_schedule.get_classes())):
if rnd.random() > 0.5:
crossover_schedule.get_classes()[i] = schedule1.get_classes()[i]
else:
crossover_schedule.get_classes()[i] = schedule2.get_classes()[i]
return crossover_schedule
def _mutate_schedule(self, mutateSchedule):
self.is_not_used()
schedule = Schedule().initialize()
for i in range(len(mutateSchedule.get_classes())):
if MUTATION_RATE > rnd.random():
mutateSchedule.get_classes()[i] = schedule.get_classes()[i]
return mutateSchedule
def _select_tournament_population(self, pop):
self.is_not_used()
tournament_pop = Population(0)
i = 0
while i < TOURNAMENT_SELECTION_SIZE:
tournament_pop.get_schedules().append(pop.get_schedules()[rnd.randrange(0, POPULATION_SIZE)])
i += 1
tournament_pop.get_schedules().sort(key=lambda x: x.get_fitness(), reverse=True)
return tournament_pop
def is_not_used(self):
pass
class DisplayMgr:
def print_available_data(self):
self.is_not_used()
print("> All Available Data")
self.print_dept()
self.print_course()
self.print_room()
self.print_instructor()
self.print_meeting_times()
def print_dept(self):
self.is_not_used()
depts = data.get_depts()
available_depts_table = prettytable.PrettyTable(['dept', 'courses'])
for i in range(len(depts)):
courses = depts.__getitem__(i).get_courses()
temp_str = "["
for j in range(len(courses) - 1):
temp_str += courses[j].__str__() + ", "
temp_str += courses[len(courses) - 1].__str__() + "]"
available_depts_table.add_row([depts.__getitem__(i).get_name(), temp_str])
print(available_depts_table)
def print_course(self):
self.is_not_used()
available_course_table = prettytable.PrettyTable(['id', 'course', 'maxS', 'ins'])
courses = data.get_courses()
for i in range(len(courses)):
instructors = courses[i].get_instructors()
temp_str = ""
for j in range(len(instructors) - 1):
temp_str += instructors[j].__str__() + ", "
temp_str += instructors[len(instructors) - 1].__str__()
available_course_table.add_row(
[courses[i].get_number(), courses[i].get_name(), str(courses[i].get_maxNumbOfStudents()), temp_str]
)
print(available_course_table)
def print_room(self):
self.is_not_used()
availableRoomsTable = prettytable.PrettyTable(['room', 'max'])
rooms = data.get_rooms()
for i in range(len(rooms)):
availableRoomsTable.add_row([str(rooms[i].get_number()), str(rooms[i].get_seatingCapacity())])
print(availableRoomsTable)
def print_instructor(self):
self.is_not_used()
available_instructor_table = prettytable.PrettyTable(['id', 'ins'])
instructors = data.get_instructors()
for i in range(len(instructors)):
available_instructor_table.add_row([instructors[i].get_id(), instructors[i].get_name()])
print(available_instructor_table)
def print_meeting_times(self):
self.is_not_used()
availableMeetingTimeTable = prettytable.PrettyTable(['id', 'mt'])
meetingTimes = data.get_meetingTimes()
for i in range(len(meetingTimes)):
availableMeetingTimeTable.add_row([meetingTimes[i].get_id(), meetingTimes[i].get_time()])
print(availableMeetingTimeTable)
def print_generation(self, population):
self.is_not_used()
table1 = prettytable.PrettyTable(['Schedule #', 'Fitness', '# of conflicts',
'classes [dept,class,room,instructor,meeting-time]'])
schedules = population.get_schedules()
for i in range(len(schedules)):
table1.add_row([str(i + 1), round(schedules[i].get_fitness(), 3), schedules[i].get_numOfConflicts(),
schedules[i].__str__()])
print(table1)
def print_schedule_as_table(self, schedule):
self.is_not_used()
table1 = prettytable.PrettyTable(['Class #', 'Dept', 'Courses (number, max # of students)', "Room (Capacity)",
"Instructor (Id)", "Meeting Time (Id)"])
classes = schedule.get_classes()
for i in range(len(classes)):
course = classes[i].get_course().get_name() + " (" + classes[i].get_course().get_number() + ", " + \
str(classes[i].get_course().get_maxNumbOfStudents()) + ")"
instructor = classes[i].get_instructor().get_name() + " (" + classes[i].get_instructor().get_id() + ")"
room = classes[i].get_room().get_number() + " (" + str(classes[i].get_room().get_seatingCapacity()) + ")"
meeting_time = classes[i].get_meetingTime().get_time() + " (" + classes[i].get_meetingTime().get_id() + ")"
table1.add_row(
[classes[i].get_id(), classes[i].get_dept().get_name(), course,
room, instructor, meeting_time]
)
print(table1)
def print_mean(self, population):
self.is_not_used()
schedules = population.get_schedules()
fitness_scores = []
for i in range(len(schedules)):
fitness_scores.append(round(schedules[i].get_fitness(), 3))
print("> Mean= ", np.array(fitness_scores).mean())
def print_std(self, population):
self.is_not_used()
schedules = population.get_schedules()
fitness_scores = []
for i in range(len(schedules)):
fitness_scores.append(round(schedules[i].get_fitness(), 3))
print("> Standard Deviation= ", np.array(fitness_scores).std())
def is_not_used(self):
pass
data = Data()
display = DisplayMgr()
display.print_available_data()
generation_number = 0
print("\n> Generation #", generation_number)
population = Population(POPULATION_SIZE)
population.get_schedules().sort(key=lambda x: x.get_fitness(), reverse=True)
display.print_generation(population)
geneticAlgorithm = GeneticAlgorithm()
while population.get_schedules()[0].get_fitness() != 1.0:
generation_number += 1
print("\n> Generation #", generation_number)
population = geneticAlgorithm.evolve(population)
population.get_schedules().sort(key=lambda x: x.get_fitness(), reverse=True)
display.print_generation(population)
display.print_schedule_as_table(population.get_schedules()[0])
display.print_mean(population)
display.print_std(population)