Using genetic algorithms for naval subsystem damage assessment and design improvements Export

@inproceedings{ScheidtGA_Diag, abstract = {Some auxiliary systems of next generation naval ships will utilize distributed automatic control. Such distributed control systems will use interconnected sensors, actuators, controllers and networking components to diagnose and reconfigure the auxiliary systems. Testing these systems will be difficult with traditional methods of fault analysis due to the interconnected and automatic nature of these subsystems. We have designed a suite of genetic algorithms to find interesting and hidden damage scenarios in a testbed of a naval subsystem. Given this knowledge, we use a genetic algorithm to improve upon the design of this subsystem.}, address = {New York, NY, USA}, author = {McCubbin, Christopher and Scheidt, David and Bandte, Oliver and Marshall, Steven and Trifonov, Iavor}, booktitle = {GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation}, citeulike-article-id = {5760880}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1277368}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1276958.1277368}, doi = {10.1145/1276958.1277368}, isbn = {978-1-59593-697-4}, keywords = {optimization, pj\_onr}, location = {London, England}, pages = {2114--2121}, posted-at = {2009-09-09 22:51:49}, priority = {0}, publisher = {ACM}, title = {Using genetic algorithms for naval subsystem damage assessment and design improvements}, url = {http://dx.doi.org/10.1145/1276958.1277368}, year = {2007} }

TY - CONF ID - ScheidtGA_Diag L3 - citeulike-article-id:5760880 N2 - Some auxiliary systems of next generation naval ships will utilize distributed automatic control. Such distributed control systems will use interconnected sensors, actuators, controllers and networking components to diagnose and reconfigure the auxiliary systems. Testing these systems will be difficult with traditional methods of fault analysis due to the interconnected and automatic nature of these subsystems. We have designed a suite of genetic algorithms to find interesting and hidden damage scenarios in a testbed of a naval subsystem. Given this knowledge, we use a genetic algorithm to improve upon the design of this subsystem. CY - London, England SN - 978-1-59593-697-4 AD - New York, NY, USA EP - 2121 TI - Using genetic algorithms for naval subsystem damage assessment and design improvements PB - ACM T2 - GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation SP - 2114 KW - optimization KW - pj_onr AU - McCubbin, Christopher AU - Scheidt, David AU - Bandte, Oliver AU - Marshall, Steven AU - Trifonov, Iavor PY - 2007/// UR - http://dx.doi.org/10.1145/1276958.1277368 ER -