'Artificial Immune Systems: A new Decision Making Paradigm for Operational Research'

Aickelin, Uwe (2004) 'Artificial Immune Systems: A new Decision Making Paradigm for Operational Research'. In: Annual Operational Research Conference 46, 7-9 September 2004, York, UK.

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Over the last few years, more and more heuristic decision making techniques have been inspired by nature, e.g. evolutionary algorithms, ant colony optimisation and simulated annealing. More recently, a novel computational intelligence technique inspired by immunology has emerged, called Artificial Immune Systems (AIS). This immune system inspired technique has already been useful in solving some computational problems. In this keynote, we will very briefly describe the immune system metaphors that are relevant to AIS. We will then give some illustrative real-world problems suitable for AIS use and show a step-by-step algorithm walkthrough. A comparison of AIS to other well-known algorithms and areas for future work will round this keynote off. It should be noted that as AIS is still a young and evolving field, there is not yet a fixed algorithm template and hence actual implementations might differ somewhat from the examples given here

Item Type: Conference or Workshop Item (Keynote)
RIS ID: https://nottingham-repository.worktribe.com/output/1021072
Additional Information: Invited Keynote Talk
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 05 Dec 2005
Last Modified: 04 May 2020 20:31
URI: https://eprints.nottingham.ac.uk/id/eprint/334

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