Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Electronic Warfare in the Information Age
Electronic Warfare in the Information Age
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Fuzzy and Neural Approaches in Engineering
Fuzzy and Neural Approaches in Engineering
Co-evolutionary Data Mining to Discover Rules for Fuzzy Resource Management
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Evolving fuzzy decision tree structure that adapts in real-time
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
| Hi-index | 0.00 |
A fuzzy logic expert system has been developed that automatically allocates electronic attack resources on different platforms in real time. This resource manager is made up of four trees, the isolated platform tree, the multi-platform tree, the fuzzy parameter selection tree and the fuzzy strategy tree. The isolated platform tree provides a fuzzy decision tree that allows an individual platform to respond to a threat. The tree's self-morphing property that increases its ability to adapt to changing events is discussed. The multi-platform tree allows a group of platforms to respond to a threat in a collaborative fashion. A genetic algorithm is used to optimize the resource manager. Experiments designed to test various concepts in the expert system are discussed, including its ability to: allow multiple platforms to self-organize without the benefit of a commander; to tolerate errors made by other systems; and to deal with multiple distinct enemy strategies.