'Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments'
Aickelin, Uwe; Burke, Edmund; Mohamed Din, Aniza
Aniza Mohamed Din
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.
|Publication Date||Jan 1, 2004|
|Peer Reviewed||Peer Reviewed|
|APA6 Citation||Aickelin, U., Burke, E., & Mohamed Din, A. (2004). 'Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments'|
|Copyright Statement||Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf|
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf
You might also like
A method for evaluating options for motif detection in electricity meter data
Using simulation to incorporate dynamic criteria into multiple criteria decision making
Fuzzy C-means-based scenario bundling for stochastic service network design
THCluster: herb supplements categorization for precision traditional Chinese medicine
Novel similarity measure for interval-valued data based on overlapping ratio