'Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments'
ABSTRACT 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 t...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2004
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| Online Access: | https://eprints.nottingham.ac.uk/271/ |
| _version_ | 1848790383677407232 |
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| author | Aickelin, Uwe Burke, Edmund Mohamed Din, Aniza |
| author_facet | Aickelin, Uwe Burke, Edmund Mohamed Din, Aniza |
| author_sort | Aickelin, Uwe |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | ABSTRACT
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. |
| first_indexed | 2025-11-14T18:11:45Z |
| format | Conference or Workshop Item |
| id | nottingham-271 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:11:45Z |
| publishDate | 2004 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-2712021-05-31T14:47:42Z https://eprints.nottingham.ac.uk/271/ 'Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments' Aickelin, Uwe Burke, Edmund Mohamed Din, Aniza ABSTRACT 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. 2004 Conference or Workshop Item PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/271/1/04acdm_aniza.pdf Aickelin, Uwe, Burke, Edmund and Mohamed Din, Aniza (2004) 'Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments'. In: 6th International Conference in Adaptive Computing in Design and Manufacture, 2004, Bristol, UK. |
| spellingShingle | Aickelin, Uwe Burke, Edmund Mohamed Din, Aniza 'Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments' |
| title | 'Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments' |
| title_full | 'Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments' |
| title_fullStr | 'Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments' |
| title_full_unstemmed | 'Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments' |
| title_short | 'Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments' |
| title_sort | 'investigating artificial immune systems for job shop rescheduling in changing environments' |
| url | https://eprints.nottingham.ac.uk/271/ |