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ORCIDTravis J. Desell
- > Home > Persons > Travis J. Desell
Publications
- 2023
[j9]AbdElRahman ElSaid
, Karl Ricanek, Zimeng Lyu, Alexander Ororbia, Travis Desell:
Backpropagation-free 4D continuous ant-based neural topology search. Appl. Soft Comput. 147: 110737 (2023)- [i20]AbdElRahman ElSaid, Karl Ricanek, Zeming Lyu, Alexander Ororbia, Travis Desell:
Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search. CoRR abs/2305.06715 (2023) - 2022
- [c55]Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz:
Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics. GECCO 2022: 1299-1307 - [i17]Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz:
Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics. CoRR abs/2204.10308 (2022) - 2021
- [c51]AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell:
Continuous Ant-Based Neural Topology Search. EvoApplications 2021: 291-306 - [c50]Zimeng Lyu, Joshua Karns, AbdElRahman ElSaid, Mohamed Wiem Mkaouer, Travis Desell:
Improving Distributed Neuroevolution Using Island Extinction and Repopulation. EvoApplications 2021: 568-583 - [c49]Zimeng Lyu, AbdElRahman ElSaid, Joshua Karns, Mohamed Wiem Mkaouer, Travis Desell:
An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution. EvoApplications 2021: 584-600 - 2020
- [j7]Travis J. Desell, AbdElRahman ElSaid, Zimeng Lyu, David Stadem, Shuchita Patwardhan, Steven A. Benson:
Long term predictions of coal fired power plant data using evolved recurrent neural networks. Autom. 68(2): 130-139 (2020) - [c45]Travis Desell, AbdElRahman ElSaid, Alexander G. Ororbia II:
An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution. EvoApplications 2020: 546-561 - [c44]AbdElRahman ElSaid, Joshua Karnas, Zimeng Lyu, Daniel E. Krutz, Alexander G. Ororbia II, Travis Desell:
Neuro-Evolutionary Transfer Learning Through Structural Adaptation. EvoApplications 2020: 610-625 - [c43]AbdElRahman ElSaid, Alexander G. Ororbia II, Travis J. Desell:
Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks. EvoApplications 2020: 626-641 - [c42]AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Daniel E. Krutz, Alexander Ororbia, Travis Desell:
Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. GECCO 2020: 315-323 - [p3]Travis Desell, AbdElRahman ElSaid, Alexander G. Ororbia II:
Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution. Deep Neural Evolution 2020: 253-291 - [i12]Zimeng Lyu, Joshua Karns, AbdElRahman ElSaid, Travis Desell:
Improving Neuroevolution Using Island Extinction and Repopulation. CoRR abs/2005.07376 (2020) - [i10]AbdElRahman ElSaid, Joshua Karns, Alexander G. Ororbia II, Daniel E. Krutz, Zimeng Lyu, Travis Desell:
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation. CoRR abs/2006.02655 (2020) - [i9]Zimeng Lyu, AbdElRahman ElSaid, Joshua Karns, Mohamed Wiem Mkaouer, Travis Desell:
An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution. CoRR abs/2009.09644 (2020) - [i8]AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander Ororbia, Travis Desell:
Continuous Ant-Based Neural Topology Search. CoRR abs/2011.10831 (2020) - 2019
- [c40]AbdElRahman ElSaid, Steven A. Benson, Shuchita Patwardhan, David Stadem, Travis Desell:
Evolving Recurrent Neural Networks for Time Series Data Prediction of Coal Plant Parameters. EvoApplications 2019: 488-503 - [c39]Alexander Ororbia, AbdElRahman ElSaid, Travis Desell:
Investigating recurrent neural network memory structures using neuro-evolution. GECCO 2019: 446-455 - [c38]AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz:
Is adaptivity a core property of intelligent systems?: it depends. SEAMS@ICSE 2019: 153-154 - [i6]Travis J. Desell, AbdElRahman ElSaid, Alexander Ororbia:
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution. CoRR abs/1909.09502 (2019) - [i5]AbdElRahman ElSaid, Alexander G. Ororbia II, Travis J. Desell:
The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks. CoRR abs/1909.11849 (2019) - 2018
- [j5]AbdElRahman ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild, Travis Desell:
Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration. Appl. Soft Comput. 73: 969-991 (2018) - [c36]AbdElRahman ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild, Travis Desell:
Using ant colony optimization to optimize long short-term memory recurrent neural networks. GECCO 2018: 13-20 - 2017
- [c30]AbdElRahman ElSaid, Brandon Wild, Fatima El Jamiy, James Higgins, Travis Desell:
Optimizing LSTM RNNs using ACO to predict turbine engine vibration. GECCO (Companion) 2017: 21-22 - [i1]AbdElRahman ElSaid, Travis Desell, Fatima El Jamiy, James Higgins, Brandon Wild:
Optimizing Long Short-Term Memory Recurrent Neural Networks Using Ant Colony Optimization to Predict Turbine Engine Vibration. CoRR abs/1710.03753 (2017) - 2016
- [c26]AbdElRahman ElSaid, Brandon Wild, James Higgins, Travis Desell:
Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines. eScience 2016: 260-269
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