Neuro-Evolutionary Transfer Learning Through Structural Adaptation. - AbdElRahman ElSaid; Joshua Karnas; Zimeng Lyu; Daniel E. Krutz; Alexander G. Ororbia II; Travis Desell (EvoApplications, 2020)

Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. - AbdElRahman ElSaid; Joshua Karns; Zimeng Lyu; Daniel E. Krutz; Alexander Ororbia; Travis Desell (GECCO, 2020)

Improving Neuroevolution Using Island Extinction and Repopulation. - Zimeng Lyu; Joshua Karns; AbdElRahman ElSaid; Travis Desell (CoRR, 2020)

Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation. - AbdElRahman ElSaid; Joshua Karns; Alexander G. Ororbia II; Daniel E. Krutz; Zimeng Lyu; Travis Desell (CoRR, 2020)

An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution. - Zimeng Lyu; AbdElRahman ElSaid; Joshua Karns; Mohamed Wiem Mkaouer; Travis Desell (CoRR, 2020)

Continuous Ant-Based Neural Topology Search. - AbdElRahman ElSaid; Joshua Karns; Zimeng Lyu; Alexander G. Ororbia II; Travis Desell (EvoApplications, 2021)

An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution. - Zimeng Lyu; AbdElRahman ElSaid; Joshua Karns; Mohamed Wiem Mkaouer; Travis Desell (EvoApplications, 2021)

Improving Distributed Neuroevolution Using Island Extinction and Repopulation. - Zimeng Lyu; Joshua Karns; AbdElRahman ElSaid; Mohamed Wiem Mkaouer; Travis Desell (EvoApplications, 2021)

Improving the scalability of distributed neuroevolution using modular congruence class generated innovation numbers. - Joshua Karns; Travis Desell (GECCO Companion, 2021)

Self-adaptation of Neuroevolution Algorithms Using Reinforcement Learning. - Michael Kogan; Joshua Karns; Travis Desell (EvoApplications, 2022)

Optimized flight safety event detection in the national general aviation flight information database. - Aidan P. LaBella; Joshua A. Karns; Farhad Akhbardeh; Travis Desell; Andrew J. Walton; Zechariah Morgan; Brandon Wild; Mark Dusenbury (SAC, 2022)

Local Stochastic Differentiable Architecture Search for Memetic Neuroevolution Algorithms. - Joshua Karns; Travis Desell (GECCO Companion, 2023)

EXA-GP: Unifying Graph-Based Genetic Programming and Neuroevolution for Explainable Time Series Forecasting. - Jared Murphy; Devroop Kar; Joshua Karns; Travis Desell (GECCO Companion, 2024)

Evaluation Time Bias in Asynchronous Evolutionary Algorithms: A Replication Study and a Novel Mitigation Strategy. - Joshua Karns; Travis Desell (GECCO, 2025)

Visualizing the Dynamics of Neuroevolution with Genetic Distance Projections. - Evan Patterson; Joshua Karns; Zimeng Lyu; Travis Desell (GECCO, 2025)