| A new discrete particle swarm optimization algorithm S Strasser, R Goodman, J Sheppard, S Butcher Proceedings of the Genetic and Evolutionary Computation Conference 2016, 53-60, 2016 | 71 | 2016 |
| Factored evolutionary algorithms S Strasser, J Sheppard, N Fortier, R Goodman IEEE Transactions on Evolutionary Computation 21 (2), 281-293, 2016 | 58 | 2016 |
| Abductive inference in Bayesian networks using distributed overlapping swarm intelligence N Fortier, J Sheppard, S Strasser Soft Computing 19 (4), 981-1001, 2015 | 25 | 2015 |
| Graph-based ontology-guided data mining for D-matrix model maturation S Strasser, J Sheppard, M Schuh, R Angryk, C Izurieta Aerospace Conference, 2011 IEEE, 1-12, 2011 | 23 | 2011 |
| Diagnostic alarm sequence maturation in timed failure propagation graphs S Strasser, J Sheppard 2011 IEEE AUTOTESTCON, 158-165, 2011 | 22 | 2011 |
| Learning Bayesian classifiers using overlapping swarm intelligence N Fortier, J Sheppard, S Strasser 2014 IEEE Symposium on Swarm Intelligence, 1-8, 2014 | 15 | 2014 |
| An Automated Software Tool for Validating Design Patterns S Strasser, C Frederickson, K Fenger, C Izurieta INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS IN INDUSTRY AND …, 2011 | 13 | 2011 |
| A noisy-or model for continuous time Bayesian networks L Perreault, S Strasser, M Thornton, J Sheppard The Twenty-Ninth International Flairs Conference, 2016 | 12 | 2016 |
| An IEEE standards-based visualization tool for knowledge discovery in maintenance event sequences M Schuh, J Sheppard, S Strasser, R Angryk, C Izurieta IEEE Aerospace and Electronic Systems Magazine 28 (7), 30-39, 2013 | 12 | 2013 |
| Ontology-guided knowledge discovery of event sequences in maintenance data M Schuh, J Sheppard, S Strasser, R Angryk, C Izurieta 2011 IEEE AUTOTESTCON, 279-285, 2011 | 12 | 2011 |
| Parameter estimation in Bayesian networks using overlapping swarm intelligence N Fortier, J Sheppard, S Strasser Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 11 | 2015 |
| Deriving prognostic continuous time Bayesian networks from D-matrices L Perreault, M Thornton, S Strasser, JW Sheppard 2015 IEEE AUTOTESTCON, 152-161, 2015 | 9 | 2015 |
| An empirical evaluation of Bayesian networks derived from fault trees S Strasser, J Sheppard 2013 IEEE Aerospace Conference, 1-13, 2013 | 9 | 2013 |
| Relaxing consensus in distributed factored evolutionary algorithms S Butcher, S Strasser, J Hoole, B Demeo, J Sheppard Proceedings of the Genetic and Evolutionary Computation Conference 2016, 5-12, 2016 | 5 | 2016 |
| Pareto improving selection of the global best in particle swarm optimization SGW Butcher, JW Sheppard, S Strasser 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018 | 4 | 2018 |
| Multiple fault diagnosis using factored evolutionary algorithms JW Sheppard, S Strasser IEEE Instrumentation & Measurement Magazine 21 (4), 27-38, 2018 | 3 | 2018 |
| A formal approach to deriving factored evolutionary algorithm architectures S Strasser, J Sheppard, S Butcher 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 3 | 2017 |
| Micpso: A method for incorporating dependencies into discrete particle swarm optimization R Goodman, M Thornton, S Strasser, JW Sheppard 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 3 | 2016 |
| Convergence of factored evolutionary algorithms S Strasser, JW Sheppard Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic …, 2017 | 2 | 2017 |
| Factored evolutionary algorithms: Cooperative coevolutionary optimization with overlap ST Strasser Montana State University, 2017 | 2 | 2017 |
