ECJ at 20: toward a general metaheuristics toolkit EO Scott, S Luke Proceedings of the genetic and evolutionary computation conference companion …, 2019 | 64 | 2019 |
Understanding Simple Asynchronous Evolutionary Algorithms EO Scott, KA De Jong FOGA'15: Foundations of Genetic Algorithms XIII, 85-98, 2015 | 61 | 2015 |
A quantum model of exaptation: Incorporating potentiality into evolutionary theory L Gabora, EO Scott, S Kauffman Progress in Biophysics and Molecular Biology 113 (1), 108-116, 2013 | 49 | 2013 |
Library for evolutionary algorithms in Python (LEAP) MA Coletti, EO Scott, JK Bassett Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 44 | 2020 |
CARLsim 6: an open source library for large-scale, biologically detailed spiking neural network simulation L Niedermeier, K Chen, J Xing, A Das, J Kopsick, E Scott, N Sutton, ... 2022 International Joint Conference on Neural Networks (IJCNN), 1-10, 2022 | 36 | 2022 |
Evaluation-time bias in asynchronous evolutionary algorithms EO Scott, KA De Jong Proceedings of the companion publication of the 2015 annual conference on …, 2015 | 27 | 2015 |
Evolving simple models of diverse intrinsic dynamics in hippocampal neuron types S Venkadesh, AO Komendantov, S Listopad, EO Scott, K De Jong, ... Frontiers in neuroinformatics 12, 8, 2018 | 23 | 2018 |
Learning genetic representations for classes of real-valued optimization problems EO Scott, JK Bassett Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 19 | 2015 |
Evaluation-time bias in quasi-generational and steady-state asynchronous evolutionary algorithms EO Scott, KA De Jong Proceedings of the Genetic and Evolutionary Computation Conference 2016, 845-852, 2016 | 14 | 2016 |
An evolutionary framework for replicating neurophysiological data with spiking neural networks EL Rounds, EO Scott, AS Alexander, KA De Jong, DA Nitz, JL Krichmar Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016 | 13 | 2016 |
Automating knowledge transfer with multi-task optimization EO Scott, KA De Jong 2019 IEEE Congress on Evolutionary Computation (CEC), 2252-2259, 2019 | 12 | 2019 |
GECCO2020 competition on evolutionary multi-task optimization L Feng, K Qin, A Gupta, Y Yuan, E Scott, YS Ong, X Chi MTO_Competition_GECCO_2020. html, 2020 | 10 | 2020 |
Assisted parameter and behavior calibration in agent-based models with distributed optimization M D’Auria, EO Scott, RS Lather, J Hilty, S Luke Advances in Practical Applications of Agents, Multi-Agent Systems, and …, 2020 | 10 | 2020 |
Multitask evolution with cartesian genetic programming EO Scott, KA De Jong Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 10 | 2017 |
Neuroevolution of a recurrent neural network for spatial and working memory in a simulated robotic environment X Zou, E Scott, A Johnson, K Chen, D Nitz, K De Jong, J Krichmar Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 8 | 2021 |
Automated Narrative Extraction from Administrative Records. K Megerdoomian, K Branting, C Horowitz, A Marsh, S Petersen, E Scott AIAS@ ICAIL, 38-48, 2019 | 8 | 2019 |
First Complexity Results for Evolutionary Knowledge Transfer EO Scott, KA De Jong Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic …, 2023 | 6 | 2023 |
Avoiding excess computation in asynchronous evolutionary algorithms EO Scott, M Coletti, CD Schuman, B Kay, SR Kulkarni, M Parsa, ... Expert Systems 40 (5), e13100, 2023 | 6 | 2023 |
Differential spatial representations in hippocampal CA1 and subiculum emerge in evolved spiking neural networks K Chen, A Johnson, EO Scott, X Zou, KA De Jong, DA Nitz, JL Krichmar 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 6 | 2021 |
Geofoam inclusions for reducing passive force on bridge abutments based on large-Scale tests KM Rollins, E Scott, A Marsh Geotechnical Frontiers 2017, 59-68, 2017 | 5 | 2017 |