Kenneth A. De Jong

ORCID

Publication Activity (10 Years)

Years Active: 1979-2024
Publications (10 Years): 34

Top Venues

Publications

Eric O. Scott, Kenneth A. De Jong
Varying Difficulty of Knowledge Reuse in Benchmarks for Evolutionary Knowledge Transfer. CEC (2024)
Kenneth A. De Jong
Evolutionary Computation Evolving. GECCO (2023)
Eric O. Scott, Kenneth A. De Jong
Initialization Matters for Asynchronous Steady-State Evolutionary Algorithms. GECCO Companion (2023)
Ahmed Bin Zaman, Toki Tahmid Inan, Kenneth A. De Jong, Amarda Shehu
Adaptive Stochastic Optimization to Improve Protein Conformation Sampling. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Kenneth A. De Jong, Emma Hart
Editorial: Reflecting on Thirty Years of ECJ. Evol. Comput. 31 (2) (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)
Eric O. Scott, Kenneth A. De Jong
First Complexity Results for Evolutionary Knowledge Transfer. FOGA (2023)
Abhishek Gupta, Yew-Soon Ong, Kenneth A. De Jong, Mengjie Zhang
Guest Editorial Special Issue on Multitask Evolutionary Computation. IEEE Trans. Evol. Comput. 26 (2) (2022)
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)
Kenneth A. De Jong
Evolutionary computation: a unified approach. GECCO Companion (2020)
Eric O. Scott, Kenneth A. De Jong
Automating Knowledge Transfer with Multi-Task Optimization. CEC (2019)
Ahmed Bin Zaman, Kenneth A. De Jong, Amarda Shehu
Using subpopulation EAs to map molecular structure landscapes. GECCO (2019)
Kenneth A. De Jong
Evolutionary computation: a unified approach. GECCO (Companion) (2019)
Eric O. Scott, Kenneth A. De Jong
Toward learning neural network encodings for continuous optimization problems. GECCO (Companion) (2018)
Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong
Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm. Evol. Comput. 26 (1) (2018)
Kenneth A. De Jong
Evolutionary computation: a unified approach. GECCO (Companion) (2018)
Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
From Optimization to Mapping: An Evolutionary Algorithm for Protein Energy Landscapes. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (3) (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)
Kenneth A. De Jong
Evolutionary computation: a unified approach. GECCO (Companion) (2017)
Eric O. Scott, Kenneth A. De Jong
Multitask Evolution with Cartesian Genetic Programming. CoRR (2017)
Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
Evolutionary search for paths on protein energy landscapes. GECCO (Companion) (2017)
Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
An evolutionary algorithm to model structural excursions of a protein. GECCO (Companion) (2017)
Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
Evolving Conformation Paths to Model Protein Structural Transitions. BCB (2017)
Eric O. Scott, Kenneth A. De Jong
Multitask evolution with cartesian genetic programming. GECCO (Companion) (2017)
Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
Modeling protein structural transitions as a multiobjective optimization problem. CIBCB (2017)
Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
A Novel EA-based Memetic Approach for Efficiently Mapping Complex Fitness Landscapes. GECCO (2016)
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)
Kenneth A. De Jong
Evolutionary Computation: A Unified Approach. GECCO (Companion) (2016)
Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
Path-based Guidance of an Evolutionary Algorithm in Mapping a Fitness Landscape and its Connectivity. GECCO (Companion) (2016)
Kenneth A. De Jong
Co-Evolutionary Algorithms: A Useful Computational Abstraction? SSBSE (2015)
Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
Evolutionary search strategies for efficient sample-based representations of multiple-basin protein energy landscapes. BIBM (2015)
Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
Mapping Multiple Minima in Protein Energy Landscapes with Evolutionary Algorithms. GECCO (Companion) (2015)
Kenneth A. De Jong
Evolutionary Computation: A Unified Approach. GECCO (Companion) (2015)
Amarda Shehu, Kenneth A. De Jong
Evolutionary Algorithms for Protein Structure Modeling. GECCO (Companion) (2015)
Rudy Clausen, Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
Evolution Strategies for Exploring Protein Energy Landscapes. GECCO (2015)
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)
Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong
Theoretical and Empirical Analysis of a Parallel Boosting Algorithm. CoRR (2015)
Alexei V. Samsonovich, Anastasia Kitsantas, Ellen O'Brien, Kenneth A. De Jong
Cognitive Processes in Preparation for Problem Solving. BICA (2015)
Amarda Shehu, Kenneth A. De Jong
Evolutionary search algorithms for protein modeling: from de novo structure prediction to comprehensive maps of functionally-relevant structures of protein chains and assemblies. GECCO (Companion) (2014)
Uday Kamath, Jessica Lin, Kenneth A. De Jong
SAX-EFG: an evolutionary feature generation framework for time series classification. GECCO (2014)
Kenneth A. De Jong
Evolutionary computation: a unified approach. GECCO (Companion) (2014)
Brian S. Olson, Kenneth A. De Jong, Amarda Shehu
Off-lattice protein structure prediction with homologous crossover. GECCO (2013)
Kenneth A. De Jong
Evolutionary computation: a unified approach. GECCO (Companion) (2013)
Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong
An analysis of a spatial EA parallel boosting algorithm. GECCO (2013)
Jeffrey K. Bassett, Uday Kamath, Kenneth A. De Jong
A new methodology for the GP theory toolbox. GECCO (2012)
Uday Kamath, Jack Compton, Rezarta Islamaj Dogan, Kenneth A. De Jong, Amarda Shehu
An Evolutionary Algorithm Approach for Feature Generation from Sequence Data and Its Application to DNA Splice Site Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (5) (2012)
Yan Guo, Kenneth A. De Jong, Fujiang Liu, Xiaopan Wang, Chan Li
A Comparison of Artificial Neural Networks and Support Vector Machines on Land Cover Classification. ISICA (2012)
James McDermott, David Robert White, Sean Luke, Luca Manzoni, Mauro Castelli, Leonardo Vanneschi, Wojciech Jaskowski, Krzysztof Krawiec, Robin Harper, Kenneth A. De Jong, Una-May O'Reilly
Genetic programming needs better benchmarks. GECCO (2012)
Claudio Cioffi-Revilla, Kenneth A. De Jong, Jeffrey K. Bassett
Evolutionary computation and agent-based modeling: biologically-inspired approaches for understanding complex social systems. Comput. Math. Organ. Theory 18 (3) (2012)
Kenneth A. De Jong
Evolutionary computation: a unified approach. GECCO (Companion) (2012)
Uday Kamath, Johan Kaers, Amarda Shehu, Kenneth A. De Jong
A Spatial EA Framework for Parallelizing Machine Learning Methods. PPSN (1) (2012)
Jeffrey Kermes Bassett, Kenneth A. De Jong
Using multivariate quantitative genetics theory to assist in EA customization. FOGA (2011)
Uday Kamath, Kenneth A. De Jong, Amarda Shehu
An evolutionary-based approach for feature generation: Eukaryotic promoter recognition. IEEE Congress on Evolutionary Computation (2011)
Uday Kamath, Amarda Shehu, Kenneth A. De Jong
A Two-Stage Evolutionary Approach for Effective Classification of hypersensitive DNA Sequences. J. Bioinform. Comput. Biol. 9 (3) (2011)
Kenneth A. De Jong
Evolutionary computation: a unified approach. GECCO (Companion) (2011)
Mohamad M. Awad, Kenneth A. De Jong
Optimization of spectral signatures selection using multi-objective genetic algorithms. IEEE Congress on Evolutionary Computation (2011)
Alexei V. Samsonovich, Anastasia Kitsantas, Ellen O'Brien, Kenneth A. De Jong
Detecting Student Metacognition and Learning in Problem Solving with Biologically Inspired Cognitive Architectures. CogSci (2011)
Kenneth A. De Jong
Evolutionary computation: challenges for the 21st century. BADS@ICAC (2010)
Uday Kamath, Kenneth A. De Jong, Amarda Shehu
Selecting predictive features for recognition of hypersensitive sites of regulatory genomic sequences with an evolutionary algorithm. GECCO (2010)
Michael Q. Kalish, Alexei V. Samsonovich, Mark Coletti, Kenneth A. De Jong
Assessing the Role of Metacognition in GMU BICA. BICA (2010)
Uday Kamath, Amarda Shehu, Kenneth A. De Jong
Feature and Kernel Evolution for Recognition of Hypersensitive Sites in DNA Sequences. BIONETICS (2010)
Kenneth A. De Jong
Evolutionary computation: a unified approach. GECCO (Companion) (2010)
Alexei V. Samsonovich, Kenneth A. De Jong, Anastasia Kitsantas, Ellen O'Brien
Assessment of the Critical Components of a Transformative Self-Regulated Learning Assistant. AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems (2010)
Uday Kamath, Amarda Shehu, Kenneth A. De Jong
Using evolutionary computation to improve SVM classification. IEEE Congress on Evolutionary Computation (2010)
Elena Popovici, Kenneth A. De Jong
Monotonicity versus performance in co-optimization. FOGA (2009)
Kenneth A. De Jong
A unified approach to Evolutionary Computation. GECCO (Companion) (2009)
Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jong
The relationship between evolvability and bloat. GECCO (2009)
Zohreh Nazeri, Daniel Barbará, Kenneth A. De Jong, George L. Donohue, Lance Sherry
Contrast-Set Mining of Aircraft Accidents and Incidents. ICDM (2008)
Alexei V. Samsonovich, Kenneth A. De Jong, Anastasia Kitsantas, Erin E. Peters, Nada Dabbagh, M. Layne Kalbfleisch
Cognitive Constructor: An Intelligent Tutoring System Based on a Biologically Inspired Cognitive Architecture (BICA). AGI (2008)
Kenneth A. De Jong
Evolutionary computation: a unified approach. GECCO (Companion) (2008)
Zbigniew Skolicki, Tomasz Arciszewski, M. H. Houck, Kenneth A. De Jong
Co-evolution of terrorist and security scenarios for water distribution systems. Adv. Eng. Softw. 39 (10) (2008)
Kenneth A. De Jong
Evolving intelligent agents: A 50 year quest. IEEE Comput. Intell. Mag. 3 (1) (2008)
Kenneth A. De Jong
Evolutionary computation: a unified approach. GECCO (Companion) (2007)
Zbigniew Skolicki, Kenneth A. De Jong
The importance of a two-level perspective for island model design. IEEE Congress on Evolutionary Computation (2007)
Elena Popovici, Kenneth A. De Jong
Sequential versus Parallel Cooperative Coevolutionary Algorithms for Optimization. IEEE Congress on Evolutionary Computation (2006)
Alexei V. Samsonovich, Giorgio A. Ascoli, Kenneth A. De Jong
Computational Assessment of the 'Magic' of Human Cognition. IJCNN (2006)
Elena Popovici, Kenneth A. De Jong
The effects of interaction frequency on the optimization performance of cooperative coevolution. GECCO (2006)
Elena Popovici, Kenneth A. De Jong
The dynamics of the best individuals in co-evolution. Nat. Comput. 5 (3) (2006)
Elena Popovici, Kenneth A. De Jong
Understanding cooperative co-evolutionary dynamics via simple fitness landscapes. GECCO (2005)
Elena Popovici, Kenneth A. De Jong
A Dynamical Systems Analysis of Collaboration Methods in Cooperative Co-evolution. AAAI Fall Symposium: Coevolutionary and Coadaptive Systems (2005)
Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De Jong
Emergent Designer: An Integrated Research and Design Support Tool Based on Models of Complex Systems. J. Inf. Technol. Constr. 10 (2005)
Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong
Applying price's equation to survival selection. GECCO (2005)
Alexei V. Samsonovich, Kenneth A. De Jong
Pricing the 'free lunch' of meta-evolution. GECCO (2005)
Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De Jong
Parameterized versus generative representations in structural design: an empirical comparison. GECCO (2005)
Neera P. Sood, Ashley G. Williams, Kenneth A. De Jong
Evaluating the XCS learning classifier system in competitive simultaneous learning environments. GECCO Workshops (2005)
Elena Popovici, Kenneth A. De Jong
Relationships between internal and external metrics in co-evolution. Congress on Evolutionary Computation (2005)
Thomas Jansen, Kenneth A. De Jong, Ingo Wegener
On the Choice of the Offspring Population Size in Evolutionary Algorithms. Evol. Comput. 13 (4) (2005)
Zbigniew Skolicki, Kenneth A. De Jong
The influence of migration sizes and intervals on island models. GECCO (2005)
Alexei V. Samsonovich, Kenneth A. De Jong
A General-Purpose Computational Model of the Conscious Mind. ICCM (2004)
Elena Popovici, Kenneth A. De Jong
Understanding Competitive Co-Evolutionary Dynamics via Fitness Landscapes. AAAI Technical Report (2) (2004)
Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong
Looking Under the EA Hood with Price's Equation. GECCO (1) (2004)
Adrian Grajdeanu, Kenneth A. De Jong
Improving the Locality Properties of Binary Representations. GECCO (1) (2004)
Zbigniew Skolicki, Kenneth A. De Jong
Improving Evolutionary Algorithms with Multi-representation Island Models. PPSN (2004)
Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De Jong
Morphogenesis and structural design: cellular automata representations of steel structures in tall buildings. IEEE Congress on Evolutionary Computation (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kenneth A. De Jong