Class Scheduling (01) + Genetic Algorithms (02) + Python Prototype Project
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00:07 demo the application
04:56 code the application
05:10 various classes that make up the application
06:47 application Class class
07:30 coding the Course class
08:10 coding the Department class
08:32 coding the Instructor class
08:57 coding the MeetingTime class
09:20 coding the Room class
09:43 coding the Class class
10:45 coding the Data class
11:54 coding the Schedule class
14:21 calculating the schedule fitness
16:43 coding the Population class
17:24 DisplayMgr class code
18:18 test run generation # 0
20:54 coding the GeneticAlgorithm class
22:16 evolve the population
22:05 coding population crossover
22:15 handing elitism
24:22 coding population mutation
24:50 perform crossover on 2 schedules
25:15 perform mutation on a schedule
25:57 perform tournament selection
26:35 evolve the population from one generation to the next until we find a schedule with no conflicts
27:04 test run the finished application
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