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Kenneth A. De Jong

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

112

Venues

14

Active years

1979–2024

Best venue rank

A*

Where they publish

Papers

112 indexed papers, newest first.

YearVenueTitleAuthors
2024CECVarying Difficulty of Knowledge Reuse in Benchmarks for Evolutionary Knowledge Transfer.Eric O. Scott, Kenneth A. De Jong
2023FOGAFirst Complexity Results for Evolutionary Knowledge Transfer.Eric O. Scott, Kenneth A. De Jong
2023GECCOEvolutionary Computation Evolving.Kenneth A. De Jong
2023GECCOInitialization Matters for Asynchronous Steady-State Evolutionary Algorithms.Eric O. Scott, Kenneth A. De Jong
2021GECCONeuroevolution 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
2021IJCNNDifferential 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
2020GECCOEvolutionary computation: a unified approach.Kenneth A. De Jong
2019CECAutomating Knowledge Transfer with Multi-Task Optimization.Eric O. Scott, Kenneth A. De Jong
2019GECCOEvolutionary computation: a unified approach.Kenneth A. De Jong
2019GECCOUsing subpopulation EAs to map molecular structure landscapes.Ahmed Bin Zaman, Kenneth A. De Jong, Amarda Shehu
2018GECCOEvolutionary computation: a unified approach.Kenneth A. De Jong
2018GECCOToward learning neural network encodings for continuous optimization problems.Eric O. Scott, Kenneth A. De Jong
2017CIBCBModeling protein structural transitions as a multiobjective optimization problem.Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2017GECCOEvolutionary computation: a unified approach.Kenneth A. De Jong
2017GECCOEvolutionary search for paths on protein energy landscapes.Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2017GECCOAn evolutionary algorithm to model structural excursions of a protein.Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2017GECCOMultitask evolution with cartesian genetic programming.Eric O. Scott, Kenneth A. De Jong
2016GECCOEvolutionary Computation: A Unified Approach.Kenneth A. De Jong
2016GECCOA Novel EA-based Memetic Approach for Efficiently Mapping Complex Fitness Landscapes.Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2016GECCOPath-based Guidance of an Evolutionary Algorithm in Mapping a Fitness Landscape and its Connectivity.Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2016GECCOEvaluation-Time Bias in Quasi-Generational and Steady-State Asynchronous Evolutionary Algorithms.Eric O. Scott, Kenneth A. De Jong
2016PPSNAn 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
2016PPSNLandscape Features for Computationally Expensive Evaluation Functions: Revisiting the Problem of Noise.Eric O. Scott, Kenneth A. De Jong
2015FOGAUnderstanding Simple Asynchronous Evolutionary Algorithms.Eric O. Scott, Kenneth A. De Jong
2015GECCOEvolution Strategies for Exploring Protein Energy Landscapes.Rudy Clausen, Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2015GECCOEvolutionary Computation: A Unified Approach.Kenneth A. De Jong
2015GECCOMapping Multiple Minima in Protein Energy Landscapes with Evolutionary Algorithms.Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2015GECCOEvaluation-Time Bias in Asynchronous Evolutionary Algorithms.Eric O. Scott, Kenneth A. De Jong
2015GECCOEvolutionary Algorithms for Protein Structure Modeling.Amarda Shehu, Kenneth A. De Jong
2015SSBSECo-Evolutionary Algorithms: A Useful Computational Abstraction?Kenneth A. De Jong
2014GECCOEvolutionary computation: a unified approach.Kenneth A. De Jong
2014GECCOSAX-EFG: an evolutionary feature generation framework for time series classification.Uday Kamath, Jessica Lin, Kenneth A. De Jong
2014GECCOEvolutionary search algorithms for protein modeling: from de novo structure prediction to comprehensive maps of functionally-relevant structures of protein chains and assemblies.Amarda Shehu, Kenneth A. De Jong
2013GECCOEvolutionary computation: a unified approach.Kenneth A. De Jong
2013GECCOAn analysis of a spatial EA parallel boosting algorithm.Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong
2013GECCOOff-lattice protein structure prediction with homologous crossover.Brian S. Olson, Kenneth A. De Jong, Amarda Shehu
2012GECCOA new methodology for the GP theory toolbox.Jeffrey K. Bassett, Uday Kamath, Kenneth A. De Jong
2012GECCOEvolutionary computation: a unified approach.Kenneth A. De Jong
2012GECCOGenetic programming needs better benchmarks.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
2012PPSNA Spatial EA Framework for Parallelizing Machine Learning Methods.Uday Kamath, Johan Kaers, Amarda Shehu, Kenneth A. De Jong
2011CECOptimization of spectral signatures selection using multi-objective genetic algorithms.Mohamad M. Awad, Kenneth A. De Jong
2011CECAn evolutionary-based approach for feature generation: Eukaryotic promoter recognition.Uday Kamath, Kenneth A. De Jong, Amarda Shehu
2011CogSciDetecting Student Metacognition and Learning in Problem Solving with Biologically Inspired Cognitive Architectures.Alexei V. Samsonovich, Anastasia Kitsantas, Ellen O'Brien, Kenneth A. De Jong
2011FOGAUsing multivariate quantitative genetics theory to assist in EA customization.Jeffrey Kermes Bassett, Kenneth A. De Jong
2011GECCOEvolutionary computation: a unified approach.Kenneth A. De Jong
2010CECUsing evolutionary computation to improve SVM classification.Uday Kamath, Amarda Shehu, Kenneth A. De Jong
2010GECCOEvolutionary computation: a unified approach.Kenneth A. De Jong
2010GECCOSelecting predictive features for recognition of hypersensitive sites of regulatory genomic sequences with an evolutionary algorithm.Uday Kamath, Kenneth A. De Jong, Amarda Shehu
2009FOGAMonotonicity versus performance in co-optimization.Elena Popovici, Kenneth A. De Jong
2009GECCOThe relationship between evolvability and bloat.Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jong
2009GECCOA unified approach to Evolutionary Computation.Kenneth A. De Jong
2008GECCOEvolutionary computation: a unified approach.Kenneth A. De Jong
2007CECThe importance of a two-level perspective for island model design.Zbigniew Skolicki, Kenneth A. De Jong
2007GECCOEvolutionary computation: a unified approach.Kenneth A. De Jong
2006CECSequential versus Parallel Cooperative Coevolutionary Algorithms for Optimization.Elena Popovici, Kenneth A. De Jong
2006GECCOThe effects of interaction frequency on the optimization performance of cooperative coevolution.Elena Popovici, Kenneth A. De Jong
2006IJCNNComputational Assessment of the 'Magic' of Human Cognition.Alexei V. Samsonovich, Giorgio A. Ascoli, Kenneth A. De Jong
2005CECRelationships between internal and external metrics in co-evolution.Elena Popovici, Kenneth A. De Jong
2005GECCOApplying price's equation to survival selection.Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong
2005GECCOParameterized versus generative representations in structural design: an empirical comparison.Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De Jong
2005GECCOUnderstanding cooperative co-evolutionary dynamics via simple fitness landscapes.Elena Popovici, Kenneth A. De Jong
2005GECCOPricing the 'free lunch' of meta-evolution.Alexei V. Samsonovich, Kenneth A. De Jong
2005GECCOThe influence of migration sizes and intervals on island models.Zbigniew Skolicki, Kenneth A. De Jong
2005GECCOEvaluating the XCS learning classifier system in competitive simultaneous learning environments.Neera P. Sood, Ashley G. Williams, Kenneth A. De Jong
2004CECMorphogenesis and structural design: cellular automata representations of steel structures in tall buildings.Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De Jong
2004GECCOLooking Under the EA Hood with Price's Equation.Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong
2004GECCOImproving the Locality Properties of Binary Representations.Adrian Grajdeanu, Kenneth A. De Jong
2004PPSNImproving Evolutionary Algorithms with Multi-representation Island Models.Zbigniew Skolicki, Kenneth A. De Jong
2003CECVisualizing evolvability with Price's equation.Mitchell A. Potter, Jeffrey K. Bassett, Kenneth A. De Jong
2003GECCOUnderstanding EA Dynamics via Population Fitness Distributions.Elena Popovici, Kenneth A. De Jong
2003ICMLCharacteristics of Long-term Learning in Soar and its Application to the Utility Problem.William G. Kennedy, Kenneth A. De Jong
2002CECA blended population approach to cooperative coevolution for decomposition of complex problems.Donald Sofge, Kenneth A. De Jong, Alan C. Schultz
2002CECAnalyzing cooperative coevolution with evolutionary game theory.R. Paul Wiegand, William C. Liles, Kenneth A. De Jong
2002FOGAEditorial Introduction.Kenneth A. De Jong, Riccardo Poli, Jonathan E. Rowe
2002FOGAModeling Variation in Cooperative Coevolution Using Evolutionary Game Theory.R. Paul Wiegand, William C. Liles, Kenneth A. De Jong
2002GECCOAn Analysis Of The Role Of Offspring Population Size In EAs.Thomas Jansen, Kenneth A. De Jong
2002PPSNThe Effects of Representational Bias on Collaboration Methods in Cooperative Coevolution.R. Paul Wiegand, William C. Liles, Kenneth A. De Jong
2000CECRobust nonlinear control design using competitive coevolution.Jean-Michel Claverie, Kenneth A. De Jong, Alaa F. Sheta
2000CECTriggered hypermutation revisited.Ronald W. Morrison, Kenneth A. De Jong
2000GECCOA GA-Based Method for Function Approximation Using Adaptive Interpolation.Rida E. Moustafa, Kenneth A. De Jong, Edward J. Wegman
2000ISMISEvolving Behaviors for Cooperating Agents.Jeffrey K. Bassett, Kenneth A. De Jong
1999CECThe usefulness of tag bits in changing environments.William C. Liles, Kenneth A. De Jong
1999CECA test problem generator for non-stationary environments.Ronald W. Morrison, Kenneth A. De Jong
1999CECAn examination of building block dynamics in different representations.Annie S. Wu, Kenneth A. De Jong
1999CECVisual analysis of evolutionary algorithms.Annie S. Wu, Kenneth A. De Jong, Donald S. Burke, John J. Grefenstette, Connie Loggia Ramsey
1999ISMISEvolving in a Changing World.Kenneth A. De Jong
1998FOGADining with GAs: Operator Lunch Theorems.William M. Spears, Kenneth A. De Jong
1998PPSNThe Coevolution of Antibodies for Concept Learning.Mitchell A. Potter, Kenneth A. De Jong
1998PPSNGenome Length as an Evolutionary Self-adaptation.Connie Loggia Ramsey, Kenneth A. De Jong, John J. Grefenstette, Annie S. Wu, Donald S. Burke
1996FOGAAnalyzing GAs Using Markov Models with Semantically Ordered and Lumped States.William M. Spears, Kenneth A. De Jong
1996ICPRVisual routine for eye detection using hybrid genetic architectures.Jerzy W. Bala, Kenneth A. De Jong, Jeffrey Huang, Haleh Vafaie, Harry Wechsler
1996ISMISOn Evolving Intelligence .Kenneth A. De Jong
1996PPSNAn Analysis of the Effects of Neighborhood Size and Shape on Local Selection Algorithms.Jayshree Sarma, Kenneth A. De Jong
1995IJCAIHybrid Learning Using Genetic Algorithms and Decision Trees for Pattern Classification.Jerzy W. Bala, Jeffrey Huang, Haleh Vafaie, Kenneth A. De Jong, Harry Wechsler
1995ICTAIAn object-oriented toolkit for evolutionary algorithms.Pawel A. Stefanski, H. Hadon Nash, Kenneth A. De Jong
1995ICTAIGenetic algorithms as a tool for restructuring feature space representations.Haleh Vafaie, Kenneth A. De Jong
1994FOGAUsing Markov Chains to Analyze GAFOs.Kenneth A. De Jong, William M. Spears, Diana F. Gordon
1994PPSNA Cooperative Coevolutionary Approach to Function Optimization.Mitchell A. Potter, Kenneth A. De Jong
1993ICTAIRobust Feature Selection Algorithms.Haleh Vafaie, Kenneth A. De Jong
1992FOGAGenetic Algorithms are NOT Function Optimizers.Kenneth A. De Jong
1992FOGAGeneration Gaps Revisited.Kenneth A. De Jong, Jayshree Sarma
1992ICTAIGenetic Algorithms as a Tool for Feature Selection in Machine Learning.Haleh Vafaie, Kenneth A. De Jong
1992PPSNAre Genetic Algorithms Function Optimizers?Kenneth A. De Jong
1991IJCAILearning Concept Classification Rules Using Genetic Algorithms.Kenneth A. De Jong, William M. Spears
1991ISMISUsing Genetic Algorithms to Improve the Performance of Classification Rules Produced by Symolic Inductive Methods.Jerzy W. Bala, Kenneth A. De Jong, Peter Pachowicz
1990FOGAAn Analysis of Multi-Point Crossover.William M. Spears, Kenneth A. De Jong
1990ICTAIGeneration of feature detectors for texture discrimination by genetic search.Jerzy W. Bala, Kenneth A. De Jong
1990ICTAIDiscovery of maximal distance codes using genetic algorithms.Kejitan Dontas, Kenneth A. De Jong
1990ICTAIUsing genetic algorithms for supervised concept learning.William M. Spears, Kenneth A. De Jong
1990PPSNAn Analysis of the Interacting Roles of Population Size and Crossover in Genetic Algorithms.Kenneth A. De Jong, William M. Spears
1988ICMLUsing Experience-Based Learning in Game Playing.Kenneth A. De Jong, Alan C. Schultz
1979SIGCSEThe academic/industry gap in systems programming and operating systems.William M. Conner, Kenneth A. De Jong