Using adaptive resonance theory and local optimization to divide and conquer large scale traveling salesman problems. - Samuel A. Mulder; Donald C. Wunsch II (IJCNN, 2003)

Million city traveling salesman problem solution by divide and conquer clustering with adaptive resonance neural networks. - Samuel A. Mulder; Donald C. Wunsch II (Neural Networks, 2003)

Neural networks and Markov models for the iterated prisoner's dilemma. - John Seiffertt; Samuel A. Mulder; Rohit Dua; Donald C. Wunsch (IJCNN, 2009)

Adaptive Rule-Based Malware Detection Employing Learning Classifier Systems: A Proof of Concept. - Jonathan J. Blount; Daniel R. Tauritz; Samuel A. Mulder (COMPSAC Workshops, 2011)

Evolving Decision Trees for the Categorization of Software. - Jasenko Hosic; Daniel R. Tauritz; Samuel A. Mulder (COMPSAC Workshops, 2014)

Improving performance of CDCL SAT solvers by automated design of variable selection heuristics. - Marketa Illetskova; Alex R. Bertels; Joshua M. Tuggle; Adam Harter; Samuel Richter; Daniel R. Tauritz; Samuel A. Mulder; Denis Bueno; Michelle Leger; William M. Siever (SSCI, 2017)

A Tabletop Game to Study Business Wargaming in the P-LEO SATCOM Marketplace. - Rehman Qureshi; Robert Gleason; Akhil Rao; Samuel A. Mulder; Daniel R. Tauritz; Davide Guzzetti (CoG, 2024)