Artificial immune system can be used to generate schedules in changingenvironments and it has been proven to be more robust than schedules developedusing a genetic algorithm. Good schedules can be produced especially when thenumber of the antigens is increased. However, an increase in the range of theantigens had somehow affected the fitness of the immune system. In thisresearch, we are trying to improve the result of the system by rescheduling thesame problem using the same method while at the same time maintaining therobustness of the schedules.
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