Publications

Journal Articles

Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting

Zimeng Lyu, Alexander Ororbia and Travis Desell

Applied Soft Computing, 2023 (IF: 8.7)

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Backpropagation-free 4D continuous ant-based neural topology search

AbdElRahman ElSaid, Karl Ricanek, Zimeng Lyu, Alexander Ororbia, Travis Desell

Applied Soft Computing, 2023 (IF: 8.7)

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Long Term Predictions of Coal Fired Power Plant Data Using Evolved Recurrent Neural Networks

Travis Desell, AbdElRahman ElSaid, Zimeng Lyu, David Stadem, Shuchita Patwardhan, Steve Benson

at - Automatisierungstechnik, Volume 68(2):130-139, 2020

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Conference Proceedings

Visualizing the Dynamics of Neuroevolution with Genetic Distance Projections

Evan Patterson, Joshua Karns, Zimeng Lyu, Travis Desell

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2025)

Paper

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

International Conference on the Applications of Evolutionary Computation (EvoApps 2025)

Paper

Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification

Zimeng Lyu, Pujan Thapa, Travis Desell

2024 International Joint Conference on Neural Networks (IJCNN)

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Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution

Devroop Kar, Zimeng Lyu, Alexander G. Ororibia, Travis Desell, Daniel Krutz

Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2024)

Paper

Efficient Neuroevolution using Island Repopulation and Simplex Hyperparameter Optimization

Aditya Shankar Thakur, Akshar Bajrang Awari, Zimeng Lyu, Travis Desell

2023 IEEE Symposium Series on Computational Intelligence (SSCI)

Paper

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

Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO 2023)

Paper

ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting

Zimeng Lyu, Travis Desell

Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2022)

Paper

Neuroevolution of Recurrent Neural Networks for Time Series Forecasting of Coal-Fired Power Plant Data

Zimeng Lyu, Shuchita Patwardhan, David Stadem, James Langfeld, Steve Benson, Travis Desell

Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2021)

Paper

An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution

Zimeng Lyu, AbdElRahman ElSaid, Joshua Karns, Mohamed Mkaouer, Travis Desell

International Conference on the Applications of Evolutionary Computation (EvoApps 2021)

Paper

Improving Distributed Neuroevolution Using Island Extinction and Repopulation

Zimeng Lyu, Joshua Karns, AbdElRahman ElSaid, Mohamed Mkaouer, Travis Desell

International Conference on the Applications of Evolutionary Computation (EvoApps 2021)

Paper

Continuous Ant-Based Neural Topology Search

AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander Ororbia, Travis Desell

International Conference on the Applications of Evolutionary Computation (EvoApps 2021)

Paper

Improving Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation

AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Daniel Krutz, Alexander Ororbia, Travis Desell

Proceedings of the 2020 genetic and evolutionary computation conference

Paper

Neuro-Evolutionary Transfer Learning through Structural Adaptation

AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Daniel Krutz, Alexander G. Ororbia, Travis Desell

International Conference on the Applications of Evolutionary Computation (Part of EvoStar)

Paper

Patents

Vehicle Parking Data Collection System and Method

Daniel Brooks, Zachary Holbert, Adrianna Jordan, Zimeng Lyu, Javad Roostaei

US Patent Application US-2020-0272837-A1, Publication Date: August 27, 2020

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Preprints

Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification

Zimeng Lyu, Pujan Thapa, Travis Desell

arXiv, 2024

Paper

Neuroevolution Neural Architecture Search for Evolving RNNs in Stock Return Prediction and Portfolio Trading

Zimeng Lyu, Amulya Saxena, Rohaan Nadeem, Hao Zhang, Travis Desell

arXiv, 2024

Paper

Minimally supervised learning using topological projections in self-organizing maps

Zimeng Lyu, Alexander Ororbia, Rui Li, Travis Desell

arXiv, 2024

Paper

A Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution

Zimeng Lyu, AbdElRahman ElSaid, Joshua Karns, Mohamed Mkaouer, Travis Desell

arXiv, 2020

Paper

Improving Neuroevolution Using Island Extinction and Repopulation

Zimeng Lyu, Joshua Karns, AbdElRahman ElSaid, Travis Desell

arXiv, 2020

Paper

Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation

AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander Ororbia II, Daniel Krutz, Travis Desell

arXiv, 2020

Paper

Manuscripts Under Review

Minimally Supervised Learning Using Topological Projections in Self-Organizing Maps

Zimeng Lyu, Alexander Ororbia, Rui Li, Travis Desell

Engineering Applications of Artificial Intelligence, 2025

Paper