ABSTRACTududArtificial immune system can be used to generate schedules in changing environments and it has been proven to be more robust than schedules developed using a genetic algorithm. Good schedules can be produced especially when the number of the antigens is increased. However, an increase in the range of the antigens had somehow affected the fitness of the immune system. In this research, we are trying to improve the result of the system by rescheduling the same problem using the same method while at the same time maintaining the robustness of the schedules.
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机译：摘要 ud ud人工免疫系统可用于在不断变化的环境中生成计划表，并且已证明它比使用遗传算法开发的计划表更强大。可以制定良好的计划，尤其是当抗原数量增加时。但是，抗原范围的增加以某种方式影响了免疫系统的适应性。在这项研究中，我们试图通过使用相同的方法重新计划相同的问题，同时保持进度表的鲁棒性来改善系统的结果。
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