Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments
| Autor: | Uwe Aickelin, Aniza Mohamed Din, Edmund K. Burke |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2008 |
| Předmět: |
Computational Engineering
Finance and Science (cs.CE) FOS: Computer and information sciences Robustness (computer science) Job shop Artificial immune system Computer science Distributed computing Genetic algorithm fungi Computer Science - Neural and Evolutionary Computing Neural and Evolutionary Computing (cs.NE) Computer Science - Computational Engineering Finance and Science |
| Zdroj: | 6th International Conference in Adaptive Computing in Design and Manufacture |
| Popis: | Artificial 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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