Publications
Journal Articles
Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting
Applied Soft Computing, 2023 (IF: 8.7)
Backpropagation-free 4D continuous ant-based neural topology search
Applied Soft Computing, 2023 (IF: 8.7)
Conference Proceedings
Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers
Evoapps 2025
Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification
IEEE WCCI 2024
Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution
GECCO 2024
Efficient Neuroevolution using Island Repopulation and Simplex Hyperparameter Optimization
SSCI 2023
Co-evolving Recurrent Neural Networks and their Hyperparameters with Simplex Hyperparameter Optimization
GECCO 2023
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting
GECCO 2022
Neuroevolution of Recurrent Neural Networks for Time Series Forecasting of Coal-Fired Power Plant Data
GECCO 2021
An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution
EvoApps 2021
Improving Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation
GECCO 2020
Preprints
Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification
arXiv, 2024
Neuroevolution Neural Architecture Search for Evolving RNNs in Stock Return Prediction and Portfolio Trading
arXiv, 2024
Minimally supervised learning using topological projections in self-organizing maps
arXiv, 2024
A Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution
arXiv, 2020
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation
arXiv, 2020
Manuscripts Under Review
Minimally Supervised Learning Using Topological Projections in Self-Organizing Maps
Engineering Applications of Artificial Intelligence, 2025