Fuzzy Logic Resource Management and Coevolutionary Game-based Optimization

نویسندگان

  • JAMES F. SMITH
  • ROBERT D. RHYNE
چکیده

Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. Approved for public release; distribution is unlimited. A fuzzy logic expert system has been developed that automatically allocates electronic attack (EA) resources in real-time. This expertise-based resource manager is made up of four trees: the isolated platform tree, the multiplatform tree, the fuzzy parameter selection tree, and the fuzzy strategy tree. The initial version of the algorithm was optimized using a genetic algorithm using fitness functions constructed based on expertise. A new approach is being explored that involves embedding the resource manager in an electronic game environment. The game allows a human expert to play against the resource manager in a simulated battlespace with each of the defending platforms being exclusively directed by the fuzzy resource manager and the attacking platforms being controlled by the human expert or operating autonomously under their own logic. This approach automates the knowledge discovery problem. The theory of coevolutionary optimization is introduced, reoptimization criteria and stopping criteria are discussed, an algorithm for automatically constructing coevolutionary fitness functions is introduced, and examples are provided to show the effectiveness of coevolutionary optimization. A measure of effectiveness (MOE) for validation is discussed. Finally, the effectiveness of the resource manager and the optimization procedures is shown through a demanding example.

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تاریخ انتشار 2001