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Comparison of Algorithms for Timetable Scheduling
Szczególnie timetable.py i geneticAlgorithm.py, optymalizacje i usunięcie zbędnych metod
ATS
Uszczelnienie algorytmu krzyżowania, poprawa funkcji genetic repair, swapGenes, itd...
Piszą, że może dobrze działać, więc warto sprawdzić
Podział na podklasy - Crossover, Mutation itd...
Tworzymy n/2 potomków i zastępujemy nimi drugą - gorszą połowę populacji rodziców
safe: on new branch
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