Optimization, Genetic Algorithm, Operations Research, Scheduling, Data Science.
2': 20} MACHINES = {'Assembly': 2, 'Testing': 2, 'Packaging': 2} TIME_SLOTS = 32 # Total time slots available per day # Genetic Algorithm Parameters POP_SIZE = 100 CXPB, MUTPB, NGEN = 0.7, 0.2, 50 # Crossover probability, mutation probability, and number of generations # Define fitness and