Eric O. Scott

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Topics

Optimization Problems

Knowledge Transfer

Evolutionary Algorithm

Top Venues

GECCO (Companion)

GECCO Companion

Publications

Eric O. Scott, Anmol Srivastava, Abby Pusateri, Andy Taylor, Karen Jones, Hahnemann Ortiz
Realistic Tax Planning with Evolutionary Algorithms. CEC (2024)
Eric O. Scott, Kenneth A. De Jong
Varying Difficulty of Knowledge Reuse in Benchmarks for Evolutionary Knowledge Transfer. CEC (2024)
Eric O. Scott, Kenneth A. De Jong
Initialization Matters for Asynchronous Steady-State Evolutionary Algorithms. GECCO Companion (2023)
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)
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)
Eric O. Scott, Kenneth A. De Jong
First Complexity Results for Evolutionary Knowledge Transfer. FOGA (2023)
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)
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 (2021)
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)
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)
Mark Coletti, Eric O. Scott, Jeffrey K. Bassett
Library for evolutionary algorithms in Python (LEAP). GECCO Companion (2020)
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)
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)
Eric O. Scott, Sean Luke
ECJ at 20: toward a general metaheuristics toolkit. GECCO (Companion) (2019)
Eric O. Scott, Kenneth A. De Jong
Automating Knowledge Transfer with Multi-Task Optimization. CEC (2019)
Eric O. Scott, Kenneth A. De Jong
Toward learning neural network encodings for continuous optimization problems. GECCO (Companion) (2018)
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 (2018)
Eric O. Scott, Kenneth A. De Jong
Multitask Evolution with Cartesian Genetic Programming. CoRR (2017)
Eric O. Scott, Kenneth A. De Jong
Multitask evolution with cartesian genetic programming. GECCO (Companion) (2017)
Eric O. Scott, Kenneth A. De Jong
Landscape Features for Computationally Expensive Evaluation Functions: Revisiting the Problem of Noise. PPSN (2016)
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)
Eric O. Scott, Kenneth A. De Jong
Evaluation-Time Bias in Quasi-Generational and Steady-State Asynchronous Evolutionary Algorithms. GECCO (2016)
Eric O. Scott, Kenneth A. De Jong
Evaluation-Time Bias in Asynchronous Evolutionary Algorithms. GECCO (Companion) (2015)
Eric O. Scott, Kenneth A. De Jong
Understanding Simple Asynchronous Evolutionary Algorithms. FOGA (2015)
Eric O. Scott, Jeffrey K. Bassett
Learning Genetic Representations for Classes of Real-Valued Optimization Problems. GECCO (Companion) (2015)