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Eric O. Scott

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2020 – today

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2024
[c21]
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Eric O. Scott, Kenneth A. De Jong:
Varying Difficulty of Knowledge Reuse in Benchmarks for Evolutionary Knowledge Transfer. CEC 2024: 1-8
[c20]
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Eric O. Scott, Anmol Srivastava, Abby Pusateri, Andy Taylor, Karen Jones, Hahnemann Ortiz:
Realistic Tax Planning with Evolutionary Algorithms. CEC 2024: 1-8
2023
[j2]
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Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong:
Avoiding excess computation in asynchronous evolutionary algorithms. Expert Syst. J. Knowl. Eng. 40(5) (2023)
[c19]
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Eric O. Scott, Kenneth A. De Jong:
First Complexity Results for Evolutionary Knowledge Transfer. FOGA 2023: 140-151
[c18]
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Eric O. Scott, Kenneth A. De Jong:
Initialization Matters for Asynchronous Steady-State Evolutionary Algorithms. GECCO Companion 2023: 1570-1578
[c17]
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Daniel Younis, Thomas M. Antonsen Jr., Luke A. Johnson, Eric O. Scott, Dmitri Kaganovich, Bahman Hafizi:
Evolving Deformable Mirror Control to Generate Partially Coherent Light Fields. GECCO Companion 2023: 2429-2437
2021
[c16]
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Xinyun Zou, Eric O. Scott, Alexander B. Johnson, Kexin Chen, Douglas A. Nitz, Kenneth A. De Jong, Jeffrey L. Krichmar:
Neuroevolution of a recurrent neural network for spatial and working memory in a simulated robotic environment. GECCO Companion 2021: 289-290
[c15]
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Kexin Chen, Alexander B. Johnson, Eric O. Scott, Xinyun Zou, Kenneth A. De Jong, Douglas A. Nitz, Jeffrey L. Krichmar:
Differential Spatial Representations in Hippocampal CA1 and Subiculum Emerge in Evolved Spiking Neural Networks. IJCNN 2021: 1-8
[c14]
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Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Kenneth A. De Jong:
Avoiding Excess Computation in Asynchronous Evolutionary Algorithms. UKCI 2021: 71-82
[i2]
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  - journals/corr/abs-2102-12638
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Xinyun Zou, Eric O. Scott, Alexander B. Johnson, Kexin Chen, Douglas A. Nitz, Kenneth A. De Jong, Jeffrey L. Krichmar:
Neuroevolution of a Recurrent Neural Network for Spatial and Working Memory in a Simulated Robotic Environment. CoRR abs/2102.12638 (2021)
2020
[c13]
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Matteo D'Auria, Eric O. Scott, Rajdeep Singh Lather, Javier Hilty, Sean Luke:
Distributed, Automated Calibration of Agent-based Model Parameters and Agent Behaviors. AAMAS 2020: 1828-1830
[c12]
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Mark Coletti, Eric O. Scott, Jeffrey K. Bassett:
Library for evolutionary algorithms in Python (LEAP). GECCO Companion 2020: 1571-1579
[c11]
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Matteo D'Auria, Eric O. Scott, Rajdeep Singh Lather, Javier Hilty, Sean Luke:
Assisted Parameter and Behavior Calibration in Agent-Based Models with Distributed Optimization. PAAMS 2020: 93-105

2010 – 2019

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2019
[c10]
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Eric O. Scott, Kenneth A. De Jong:
Automating Knowledge Transfer with Multi-Task Optimization. CEC 2019: 2252-2259
[c9]
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Eric O. Scott, Sean Luke:
ECJ at 20: toward a general metaheuristics toolkit. GECCO (Companion) 2019: 1391-1398
2018
[j1]
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Siva Venkadesh, Alexander O. Komendantov, Stanislav Listopad, Eric O. Scott, Kenneth A. De Jong, Jeffrey L. Krichmar, Giorgio A. Ascoli:
Evolving Simple Models of Diverse Intrinsic Dynamics in Hippocampal Neuron Types. Frontiers Neuroinformatics 12: 8 (2018)
[c8]
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Eric O. Scott, Kenneth A. De Jong:
Toward learning neural network encodings for continuous optimization problems. GECCO (Companion) 2018: 123-124
2017
[c7]
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Eric O. Scott, Kenneth A. De Jong:
Multitask evolution with cartesian genetic programming. GECCO (Companion) 2017: 255-256
[i1]
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Eric O. Scott, Kenneth A. De Jong:
Multitask Evolution with Cartesian Genetic Programming. CoRR abs/1702.02217 (2017)
2016
[c6]
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Eric O. Scott, Kenneth A. De Jong:
Evaluation-Time Bias in Quasi-Generational and Steady-State Asynchronous Evolutionary Algorithms. GECCO 2016: 845-852
[c5]
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Emily L. Rounds, Eric O. Scott, Andrew S. Alexander, Kenneth A. De Jong, Douglas A. Nitz, Jeffrey L. Krichmar:
An Evolutionary Framework for Replicating Neurophysiological Data with Spiking Neural Networks. PPSN 2016: 537-547
[c4]
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Eric O. Scott, Kenneth A. De Jong:
Landscape Features for Computationally Expensive Evaluation Functions: Revisiting the Problem of Noise. PPSN 2016: 952-961
2015
[c3]
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Eric O. Scott, Kenneth A. De Jong:
Understanding Simple Asynchronous Evolutionary Algorithms. FOGA 2015: 85-98
[c2]
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Eric O. Scott, Jeffrey K. Bassett:
Learning Genetic Representations for Classes of Real-Valued Optimization Problems. GECCO (Companion) 2015: 1075-1082
[c1]
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Eric O. Scott, Kenneth A. De Jong:
Evaluation-Time Bias in Asynchronous Evolutionary Algorithms. GECCO (Companion) 2015: 1209-1212

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