Paper
22 July 2003 Network-centric fuzzy resource manager: structure and validation
James F. Smith III, Zachary Firth
Author Affiliations +
Abstract
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 that allows an individual platform to respond to a threat. 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. A genetic program is used to evolve optimal fuzzy decision tree topology. The non-uniqueness of the tree structure is considered. The superiority of a genetic program evolved tree compared to a tree written down exclusively based on expertise is discussed. Fuzzy membership functions related to four fuzzy concepts are given. Experiments designed to test these concepts in the expert system are discussed, as well as the resource manager's 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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James F. Smith III and Zachary Firth "Network-centric fuzzy resource manager: structure and validation", Proc. SPIE 5101, Battlespace Digitization and Network-Centric Systems III, (22 July 2003); https://doi.org/10.1117/12.486038
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KEYWORDS
Fuzzy logic

Composites

Radar

Ranging

Genetic algorithms

Sensors

Kinematics

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