Fuzzy Sets and Systems - Special issue on nuclear engineering
Design of adaptive fuzzy controls based on natural control laws
Fuzzy Sets and Systems
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Communications of the ACM
An Immunological Approach to Change Detection: Theoretical Results
CSFW '96 Proceedings of the 9th IEEE workshop on Computer Security Foundations
An emergency model of home network environment based on genetic algorithm
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Finding abnormal events in home sensor network environment using correlation graph
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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In this study, we apply the self-adaptive evolutionary negative selection approach for home abnormal events detection. The negative selection algorithm, also termed the exhaustive detector generating algorithm, is for various anomaly detection problems, and the concept originates from artificial immune system. Regarding the home abnormal control rules as the detector, we apply fuzzy genetic algorithm for self-adaptive information appliances control system, once the environment factors change. The proposed approach can be adaptive and incremental for the home environment factor changes. Via implementing the proposed approach on the abnormal temperature detection, we can make the information appliance control system more secure, adaptive and customized.