Eric O. Scott

According to our database, Eric O. Scott authored at least 21 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Avoiding excess computation in asynchronous evolutionary algorithms.

Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong

Expert Syst. J. Knowl. Eng., June, 2023

Evolving Deformable Mirror Control to Generate Partially Coherent Light Fields.

Daniel Younis, Thomas M. Antonsen Jr., Luke A. Johnson, Eric O. Scott, Dmitri Kaganovich, Bahman Hafizi

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Initialization Matters for Asynchronous Steady-State Evolutionary Algorithms.

Eric O. Scott, Kenneth A. De Jong

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

First Complexity Results for Evolutionary Knowledge Transfer.

Eric O. Scott, Kenneth A. De Jong

Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023

2021

Avoiding Excess Computation in Asynchronous Evolutionary Algorithms.

Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Kenneth A. De Jong

Proceedings of the Advances in Computational Intelligence Systems, 2021

Differential Spatial Representations in Hippocampal CA1 and Subiculum Emerge in Evolved Spiking Neural Networks.

Kexin Chen, Alexander B. Johnson, Eric O. Scott, Xinyun Zou, Kenneth A. De Jong, Douglas A. Nitz, Jeffrey L. Krichmar

Proceedings of the International Joint Conference on Neural Networks, 2021

Neuroevolution of a recurrent neural network for spatial and working memory in a simulated robotic environment.

Xinyun Zou, Eric O. Scott, Alexander B. Johnson, Kexin Chen, Douglas A. Nitz, Kenneth A. De Jong, Jeffrey L. Krichmar

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Assisted Parameter and Behavior Calibration in Agent-Based Models with Distributed Optimization.

Matteo D'Auria, Eric O. Scott, Rajdeep Singh Lather, Javier Hilty, Sean Luke

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection, 2020

Library for evolutionary algorithms in Python (LEAP).

Mark Coletti, Eric O. Scott, Jeffrey K. Bassett

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Distributed, Automated Calibration of Agent-based Model Parameters and Agent Behaviors.

Matteo D'Auria, Eric O. Scott, Rajdeep Singh Lather, Javier Hilty, Sean Luke

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

ECJ at 20: toward a general metaheuristics toolkit.

Eric O. Scott, Sean Luke

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Automating Knowledge Transfer with Multi-Task Optimization.

Eric O. Scott, Kenneth A. De Jong

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Evolving Simple Models of Diverse Intrinsic Dynamics in Hippocampal Neuron Types.

Siva Venkadesh, Alexander O. Komendantov, Stanislav Listopad, Eric O. Scott, Kenneth A. De Jong, Jeffrey L. Krichmar, Giorgio A. Ascoli

Frontiers Neuroinformatics, 2018

Toward learning neural network encodings for continuous optimization problems.

Eric O. Scott, Kenneth A. De Jong

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017

Multitask evolution with cartesian genetic programming.

Eric O. Scott, Kenneth A. De Jong

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Landscape Features for Computationally Expensive Evaluation Functions: Revisiting the Problem of Noise.

Eric O. Scott, Kenneth A. De Jong

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

An Evolutionary Framework for Replicating Neurophysiological Data with Spiking Neural Networks.

Emily L. Rounds, Eric O. Scott, Andrew S. Alexander, Kenneth A. De Jong, Douglas A. Nitz, Jeffrey L. Krichmar

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Evaluation-Time Bias in Quasi-Generational and Steady-State Asynchronous Evolutionary Algorithms.

Eric O. Scott, Kenneth A. De Jong

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015

Evaluation-Time Bias in Asynchronous Evolutionary Algorithms.

Eric O. Scott, Kenneth A. De Jong

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Learning Genetic Representations for Classes of Real-Valued Optimization Problems.

Eric O. Scott, Jeffrey K. Bassett

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Understanding Simple Asynchronous Evolutionary Algorithms.

Eric O. Scott, Kenneth A. De Jong

Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17, 2015