Uwe Aickelin
'Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments'
Aickelin, Uwe; Burke, Edmund; Mohamed Din, Aniza
Authors
Edmund Burke
Aniza Mohamed Din
Abstract
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.
Citation
Aickelin, U., Burke, E., & Mohamed Din, A. 'Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments'. Presented at 6th International Conference in Adaptive Computing in Design and Manufacture
Conference Name | 6th International Conference in Adaptive Computing in Design and Manufacture |
---|---|
Publication Date | Jan 1, 2004 |
Deposit Date | Oct 12, 2007 |
Publicly Available Date | Oct 12, 2007 |
Peer Reviewed | Peer Reviewed |
Public URL | https://nottingham-repository.worktribe.com/output/1021096 |
Files
04acdm_aniza.pdf
(101 Kb)
PDF
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search