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)

Long term predictions of coal fired power plant data using evolved recurrent neural networks. - Travis J. Desell; AbdElRahman ElSaid; Zimeng Lyu; David Stadem; Shuchita Patwardhan; Steven A. Benson (Autom., 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)

Neuroevolution of recurrent neural networks for time series forecasting of coal-fired power plant operating parameters. - Zimeng Lyu; Shuchita Patwardhan; David Stadem; James Langfeld; Steven A. Benson; Seth Thoelke; Travis Desell (GECCO Companion, 2021)

ONE-NAS: an online neuroevolution based neural architecture search for time series forecasting. - Zimeng Lyu; Travis Desell (GECCO Companion, 2022)

Co-evolving Recurrent Neural Networks and their Hyperparameters with Simplex Hyperparameter Optimization. - Amit Dilip Kini; Swaraj Sambhaji Yadav; Aditya Shankar Thakur; Akshar Bajrang Awari; Zimeng Lyu; Travis Desell (GECCO Companion, 2023)

Efficient Neuroevolution Using Island Repopulation and Simplex Hyperparameter Optimization. - Aditya Shankar Thakur; Akshar Bajrang Awari; Zimeng Lyu; Travis Desell (SSCI, 2023)

Online evolutionary neural architecture search for multivariate non-stationary time series forecasting. - Zimeng Lyu; Alexander Ororbia; Travis Desell (Appl. Soft Comput., 2023)

Backpropagation-free 4D continuous ant-based neural topology search. - AbdElRahman ElSaid; Karl Ricanek; Zimeng Lyu; Alexander Ororbia; Travis Desell (Appl. Soft Comput., 2023)

Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution. - Devroop Kar; Zimeng Lyu; Alexander G. Ororbia II; Travis Desell; Daniel E. Krutz (GECCO Companion, 2024)

Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification. - Zimeng Lyu; Pujan Thapa; Travis Desell (IJCNN, 2024)

Minimally Supervised Learning using Topological Projections in Self-Organizing Maps. - Zimeng Lyu; Alexander Ororbia; Rui Li; Travis Desell (CoRR, 2024)

Neuroevolution Neural Architecture Search for Evolving RNNs in Stock Return Prediction and Portfolio Trading. - Zimeng Lyu; Amulya Saxena; Rohaan Nadeem; Hao Zhang; Travis Desell (CoRR, 2024)

Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers. - Zimeng Lyu; Devroop Kar; Matthew Simoni; Rohaan Nadeem; Avinash Bhojanapalli; Hao Zhang; Travis Desell (EvoApplications (2), 2025)

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

Directly Learning Stock Trading Strategies Through Profit Guided Loss Functions. - Devroop Kar; Zimeng Lyu; Sheeraja Rajakrishnan; Hao Zhang; Alexander Ororbia; Travis Desell; Daniel E. Krutz (CoRR, 2025)