Title :
Scheduling for sensor management using genetic search
Author :
Cone, Milton L. ; Musick, Stan
Author_Institution :
Aeronaut. Univ., USA
Abstract :
This paper suggests several evaluation criteria for the scheduling algorithm in a sensor manager. The genetic algorithm is evaluated against the criteria and compared to a random search algorithm. Suggestions are made for improving the performance of both algorithms as judged by the criteria
Keywords :
aerospace computing; aircraft instrumentation; genetic algorithms; military aircraft; military avionics; military computing; performance evaluation; scheduling; sensor fusion; software performance evaluation; combat aircraft; genetic algorithm; genetic search; multiprocessor environment; performance; random search algorithm; scheduling algorithm; sensor management; Aircraft; Asset management; Dynamic scheduling; Environmental management; Genetic algorithms; Job shop scheduling; Multiprocessing systems; Processor scheduling; Radar; Scheduling algorithm;
Conference_Titel :
Aerospace and Electronics Conference, 1996. NAECON 1996., Proceedings of the IEEE 1996 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-3306-3
DOI :
10.1109/NAECON.1996.517630
