Steven M. Corns

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 8

Top Topics

Computational Intelligence

Top Venues

Publications

Marley Velasco, Steven M. Corns
Acknowledging Volunteers Associated With 2023 IEEE CIS Conference Management [Society Briefs]. IEEE Comput. Intell. Mag. 19 (1) (2024)
George J. Shannon, Nagasharath Rayapati, Steven M. Corns, Donald C. Wunsch II
Comparative study using inverse ontology cogency and alternatives for concept recognition in the annotated National Library of Medicine database. Neural Networks 139 (2021)
Josh Goldschmid, Steven M. Corns
A cluster-based framework for interface analysis in large-scale aerospace systems. Syst. Eng. 24 (5) (2021)
Steven M. Corns
James Keller, Derong Liu, and David Fogel: Fundamentals of computational intelligence: neural networks, fuzzy systems, and evolutionary computation - John Wiley and Sons, 2016, 378 pp, ISBN 978-1-110-21434-2. Genet. Program. Evolvable Mach. 18 (1) (2017)
Vinayaka Nagendra, Harikishan Gude, Divya Sampath, Steven M. Corns, Suzanna Long
Evaluation of support vector machines and random forest classifiers in a real-time fetal monitoring system based on cardiotocography data. CIBCB (2017)
George J. Shannon, James M. Levett, Steven M. Corns, Donald C. Wunsch
Cognitive relevance. SSCI (2017)
Varun Ramachandran, Suzanna Long, Tom Shoberg, Steven M. Corns, Héctor J. Carlo
Post-Disaster Supply Chain Interdependent Critical Infrastructure System Restoration: A Review of Data Necessary and Available for Modeling. Data Sci. J. 15 (2016)
Gene Lesinski, Steven M. Corns, Cihan H. Dagli
A fuzzy genetic algorithm approach to generate and assess meta-architectures for non-line of site fires battlefield capability. CEC (2016)
David D. Haynes, Steven M. Corns
Algorithm for a tabu - ant colony optimizer. CEC (2015)
Dustin Nottage, Steven M. Corns, Ahmet Soylemezoglu, Kurt Kinnevan
A SysML Framework for Modeling Contingency Basing. Syst. Eng. 18 (2) (2015)
George J. Shannon, Steven M. Corns, Donald C. Wunsch
Discovering objective functions for tagging medical text concepts. CIBCB (2014)
David Haynes, Steven M. Corns
Timekeeping Issues in Ultra-Quality Metering Systems. IEEE Trans. Smart Grid 5 (1) (2014)
Ivan G. Guardiola, Cihan H. Dagli, Steven M. Corns
Using University-Funded Research Projects to Teach System Design Processes and Tools. IEEE Trans. Educ. 56 (4) (2013)
David Haynes, Steven M. Corns
EA-EMA Optimization Applied to Killer Sudoku Puzzles. Complex Adaptive Systems (2013)
Steven M. Corns, Daniel A. Ashlock, Kenneth Mark Bryden
Development of antibiotic regimens using graph based evolutionary algorithms. Biosyst. 114 (3) (2013)
Benjamin Daniels, Steven M. Corns, Elizabeth A. Cudney
Introduction of R-LCS and comparative analysis with FSC and Mahalanobis-Taguchi method for Breast Cancer classification. CIBCB (2012)
Benjamin Daniels, Steven M. Corns, Elizabeth A. Cudney
A comparison of representations for the prediction of ground-level ozone concentration. IEEE Congress on Evolutionary Computation (2012)
David Haynes, Steven M. Corns
A proposal to use real time pricing to manage the electrical grid as a step toward distributed control. CSER (2012)
Steven M. Corns
Preface to Part III Model Based Systems Engineering. CSER (2012)
David Haynes, Steven M. Corns, Ganesh Kumar Venayagamoorthy
An Exponential Moving Average algorithm. IEEE Congress on Evolutionary Computation (2012)
Dustin Nottage, Steven M. Corns
Application of model-based systems engineering on a university satellite design team. CSER (2012)
Akalpit Gadre, Elizabeth A. Cudney, Steven M. Corns
Model Development of a Virtual Learning Environment to Enhance Lean Education. Complex Adaptive Systems (2011)
Elizabeth A. Cudney, Steven M. Corns
A comparison of Finite State Classifier and Mahalanobis-Taguchi System for multivariate pattern recognition in skin cancer detection. CIBCB (2011)
Bhanuchander Reddy Poreddy, Steven M. Corns
Arguing Security of Generic Avionic Mission Control Computer System (MCC) using Assurance Cases. Complex Adaptive Systems (2011)
Steven M. Corns
On the effects of graph based evolutionary algorithms for training finite state classifiers. IEEE Congress on Evolutionary Computation (2011)
Dustin Nottage, Steven M. Corns
SysML profiling for handling army base camp planning. Complex Adaptive Systems (2011)
Jayakanth Jayachandran, Steven M. Corns
A comparative study of diversity in evolutionary algorithms. IEEE Congress on Evolutionary Computation (2010)
Salik R. Yadav, Steven M. Corns
Improved PCR design for mouse DNA by training finite state machines. CIBCB (2010)
Daniel A. Ashlock, Kenneth Mark Bryden, Steven M. Corns
Small population effects and hybridization. IEEE Congress on Evolutionary Computation (2008)
Dan Ashlock, Karl Cottenie, Lindsey Carson, Kenneth Mark Bryden, Steven M. Corns
An Evolutionary Algorithm for the Selection of Geographically Informative Species. CIBCB (2006)
Steven M. Corns, H. Scott Hurd, Dan Ashlock, Kenneth Mark Bryden
Developing Antibiotic Regimens Using Evolutionary Algorithms. CIBCB (2006)
Steven M. Corns, Daniel A. Ashlock, Douglas S. McCorkle, Kenneth Mark Bryden
Improving Design Diversity Using Graph Based Evolutionary Algorithms. IEEE Congress on Evolutionary Computation (2006)
Kenneth Mark Bryden, Daniel A. Ashlock, Steven M. Corns, Stephen J. Willson
Graph-based evolutionary algorithms. IEEE Trans. Evol. Comput. 10 (5) (2006)
Daniel A. Ashlock, Kenneth Mark Bryden, Steven M. Corns, Justin Schonfeld
An Updated Taxonomy of Evolutionary Computation Problems using Graph-based Evolutionary Algorithms. IEEE Congress on Evolutionary Computation (2006)
Steven M. Corns, Kenneth Mark Bryden, Daniel A. Ashlock
Solution transfer rates in graph based evolutionary algorithms. Congress on Evolutionary Computation (2005)
Daniel A. Ashlock, Kenneth Mark Bryden, Steven M. Corns
Graph based evolutionary algorithms enhance the identification of Steiner systems. Congress on Evolutionary Computation (2005)
Steven M. Corns, Daniel A. Ashlock, Kenneth Mark Bryden, David Muth Jr.
On the effects of representation on evolving grid robots. Congress on Evolutionary Computation (2005)
Daniel A. Ashlock, Kenneth M. Bryden, Steven M. Corns
On taxonomy of evolutionary computation problems. IEEE Congress on Evolutionary Computation (2004)
Daniel A. Ashlock, Scott J. Emrich, Kenneth Mark Bryden, Steven M. Corns, Tsui-Jung Wen, Patrick S. Schnable
A comparison of evolved finite state classifiers and interpolated Markov models for improving PCR primer design. CIBCB (2004)