A growing and pruning method for a history stack neural network based adaptive controller. - Ian Showalter; Howard M. Schwartz (CDC, 2004)

Lamarckian Inheritance in Neuromodulated Multiobjective Evolutionary Neurocontrollers. - Ian Showalter; Howard Schwartz 001 (MED, 2019)

Multiobjective Neuromodulated Controllers for Efficient Autonomous Vehicles with Mass and Drag in the Pursuit-Evasion Game. - Ian Showalter; Howard Schwartz 001 (CEC, 2020)

Objective Comparison and Selection in Mono- and Multi-Objective Evolutionary Neurocontrollers. - Ian Showalter; Howard Schwartz 001 (SSCI, 2020)

Exploring the Relationship Between Topology and Function in Evolved Neural Networks. - Ian Showalter; Howard Schwartz 001 (SSCI, 2020)

Self-Adaptation of Meta-Parameters for Lamarckian-Inherited Neuromodulated Neurocontrollers in the Pursuit-Evasion Game. - Ian Showalter; Howard Schwartz 001 (SSCI, 2020)

Evolutionary Inherited Neuromodulated Neurocontrollers with Objective Weighted Ranking. - Ian Showalter; Howard Schwartz 001; Sidney N. Givigi (CEC, 2021)

The Behavioural and Topological Effects of Measurement Noise on Evolutionary Neurocontrollers. - Ian Showalter; Howard Schwartz 001; Sidney N. Givigi (SMC, 2021)

Neuromodulated multiobjective evolutionary neurocontrollers without speciation. - Ian Showalter; Howard Schwartz 001 (Evol. Intell., 2021)