Kenneth A. De Jong

182 papers A* 4A 47B 27C 5Journal 31Unranked 62

Year	Rank	Type	Title / Venue / Authors
2024	B	`conf`	Varying Difficulty of Knowledge Reuse in Benchmarks for Evolutionary Knowledge Transfer. CEC Eric O. Scott, Kenneth A. De Jong
2023	J	`jnl`	Adaptive Stochastic Optimization to Improve Protein Conformation Sampling. IEEE ACM Trans. Comput. Biol. Bioinform. Ahmed Bin Zaman, Toki Tahmid Inan, Kenneth A. De Jong, Amarda Shehu
2023	J	`jnl`	Avoiding excess computation in asynchronous evolutionary algorithms. Expert Syst. J. Knowl. Eng. Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong
2023	J	`jnl`	Editorial: Reflecting on Thirty Years of ECJ. Evol. Comput. Kenneth A. De Jong, Emma Hart
2023	A	`conf`	Evolutionary Computation Evolving. GECCO Kenneth A. De Jong
2023	A	`conf`	First Complexity Results for Evolutionary Knowledge Transfer. FOGA Eric O. Scott, Kenneth A. De Jong
2023	—	`conf`	Initialization Matters for Asynchronous Steady-State Evolutionary Algorithms. GECCO Companion Eric O. Scott, Kenneth A. De Jong
2022	J	`jnl`	Guest Editorial Special Issue on Multitask Evolutionary Computation. IEEE Trans. Evol. Comput. Abhishek Gupta, Yew-Soon Ong, Kenneth A. De Jong, Mengjie Zhang
2021	—	`conf`	Avoiding Excess Computation in Asynchronous Evolutionary Algorithms. UKCI Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Kenneth A. De Jong
2021	B	`conf`	Differential Spatial Representations in Hippocampal CA1 and Subiculum Emerge in Evolved Spiking Neural Networks. IJCNN Kexin Chen, Alexander B. Johnson, Eric O. Scott, Xinyun Zou, Kenneth A. De Jong, Douglas A. Nitz, Jeffrey L. Krichmar
2021	J	`jnl`	Neuroevolution of a Recurrent Neural Network for Spatial and Working Memory in a Simulated Robotic Environment. CoRR Xinyun Zou, Eric O. Scott, Alexander B. Johnson, Kexin Chen, Douglas A. Nitz, Kenneth A. De Jong, Jeffrey L. Krichmar
2021	—	`conf`	Neuroevolution of a recurrent neural network for spatial and working memory in a simulated robotic environment. GECCO Companion Xinyun Zou, Eric O. Scott, Alexander B. Johnson, Kexin Chen, Douglas A. Nitz, Kenneth A. De Jong, Jeffrey L. Krichmar
2020	—	`conf`	Evolutionary computation: a unified approach. GECCO Companion Kenneth A. De Jong
2019	B	`conf`	Automating Knowledge Transfer with Multi-Task Optimization. CEC Eric O. Scott, Kenneth A. De Jong
2019	—	`ch.`	EML: A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications. Innovations in Big Data Mining and Embedded Knowledge Uday Kamath, Carlotta Domeniconi, Amarda Shehu, Kenneth A. De Jong
2019	—	`conf`	Evolutionary computation: a unified approach. GECCO (Companion) Kenneth A. De Jong
2019	A	`conf`	Using subpopulation EAs to map molecular structure landscapes. GECCO Ahmed Bin Zaman, Kenneth A. De Jong, Amarda Shehu
2018	—	`conf`	Evolutionary computation: a unified approach. GECCO (Companion) Kenneth A. De Jong
2018	J	`jnl`	Evolving Simple Models of Diverse Intrinsic Dynamics in Hippocampal Neuron Types. Frontiers Neuroinformatics Siva Venkadesh, Alexander O. Komendantov, Stanislav Listopad, Eric O. Scott, Kenneth A. De Jong, Jeffrey L. Krichmar, Giorgio A. Ascoli
2018	J	`jnl`	From Optimization to Mapping: An Evolutionary Algorithm for Protein Energy Landscapes. IEEE ACM Trans. Comput. Biol. Bioinform. Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2018	J	`jnl`	Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm. Evol. Comput. Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong
2018	—	`conf`	Toward learning neural network encodings for continuous optimization problems. GECCO (Companion) Eric O. Scott, Kenneth A. De Jong
2017	—	`conf`	An evolutionary algorithm to model structural excursions of a protein. GECCO (Companion) Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2017	—	`conf`	Evolutionary computation: a unified approach. GECCO (Companion) Kenneth A. De Jong
2017	—	`conf`	Evolutionary search for paths on protein energy landscapes. GECCO (Companion) Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2017	—	`conf`	Evolving Conformation Paths to Model Protein Structural Transitions. BCB Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2017	C	`conf`	Modeling protein structural transitions as a multiobjective optimization problem. CIBCB Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2017	J	`jnl`	Multitask Evolution with Cartesian Genetic Programming. CoRR Eric O. Scott, Kenneth A. De Jong
2017	—	`conf`	Multitask evolution with cartesian genetic programming. GECCO (Companion) Eric O. Scott, Kenneth A. De Jong
2016	A	`conf`	A Novel EA-based Memetic Approach for Efficiently Mapping Complex Fitness Landscapes. GECCO Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2016	A	`conf`	An Evolutionary Framework for Replicating Neurophysiological Data with Spiking Neural Networks. PPSN Emily L. Rounds, Eric O. Scott, Andrew S. Alexander, Kenneth A. De Jong, Douglas A. Nitz, Jeffrey L. Krichmar
2016	A	`conf`	Evaluation-Time Bias in Quasi-Generational and Steady-State Asynchronous Evolutionary Algorithms. GECCO Eric O. Scott, Kenneth A. De Jong
2016	—	`conf`	Evolutionary Computation: A Unified Approach. GECCO (Companion) Kenneth A. De Jong
2016	A	`conf`	Landscape Features for Computationally Expensive Evaluation Functions: Revisiting the Problem of Noise. PPSN Eric O. Scott, Kenneth A. De Jong
2016	—	`conf`	Path-based Guidance of an Evolutionary Algorithm in Mapping a Fitness Landscape and its Connectivity. GECCO (Companion) Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2015	B	`conf`	Co-Evolutionary Algorithms: A Useful Computational Abstraction? SSBSE Kenneth A. De Jong
2015	—	`conf`	Cognitive Processes in Preparation for Problem Solving. BICA Alexei V. Samsonovich, Anastasia Kitsantas, Ellen O'Brien, Kenneth A. De Jong
2015	—	`conf`	Evaluation-Time Bias in Asynchronous Evolutionary Algorithms. GECCO (Companion) Eric O. Scott, Kenneth A. De Jong
2015	A	`conf`	Evolution Strategies for Exploring Protein Energy Landscapes. GECCO Rudy Clausen, Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2015	—	`conf`	Evolutionary Algorithms for Protein Structure Modeling. GECCO (Companion) Amarda Shehu, Kenneth A. De Jong
2015	—	`conf`	Evolutionary Computation: A Unified Approach. GECCO (Companion) Kenneth A. De Jong
2015	—	`conf`	Evolutionary search strategies for efficient sample-based representations of multiple-basin protein energy landscapes. BIBM Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2015	—	`conf`	Mapping Multiple Minima in Protein Energy Landscapes with Evolutionary Algorithms. GECCO (Companion) Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu
2015	J	`jnl`	Theoretical and Empirical Analysis of a Parallel Boosting Algorithm. CoRR Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong
2015	A	`conf`	Understanding Simple Asynchronous Evolutionary Algorithms. FOGA Eric O. Scott, Kenneth A. De Jong
2014	—	`conf`	Evolutionary computation: a unified approach. GECCO (Companion) Kenneth A. De Jong
2014	—	`conf`	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) Amarda Shehu, Kenneth A. De Jong
2014	A	`conf`	SAX-EFG: an evolutionary feature generation framework for time series classification. GECCO Uday Kamath, Jessica Lin, Kenneth A. De Jong
2013	A	`conf`	An analysis of a spatial EA parallel boosting algorithm. GECCO Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong
2013	—	`conf`	Evolutionary computation: a unified approach. GECCO (Companion) Kenneth A. De Jong
2013	A	`ed.`	Foundations of Genetic Algorithms XII, FOGA '13, Adelaide, SA, Australia, January 16-20, 2013 FOGA Frank Neumann, Kenneth A. De Jong
2013	A	`conf`	Off-lattice protein structure prediction with homologous crossover. GECCO Brian S. Olson, Kenneth A. De Jong, Amarda Shehu
2012	—	`conf`	A Comparison of Artificial Neural Networks and Support Vector Machines on Land Cover Classification. ISICA Yan Guo, Kenneth A. De Jong, Fujiang Liu, Xiaopan Wang, Chan Li
2012	—	`conf`	A Spatial EA Framework for Parallelizing Machine Learning Methods. PPSN (1) Uday Kamath, Johan Kaers, Amarda Shehu, Kenneth A. De Jong
2012	A	`conf`	A new methodology for the GP theory toolbox. GECCO Jeffrey K. Bassett, Uday Kamath, Kenneth A. De Jong
2012	J	`jnl`	An Evolutionary Algorithm Approach for Feature Generation from Sequence Data and Its Application to DNA Splice Site Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Uday Kamath, Jack Compton, Rezarta Islamaj Dogan, Kenneth A. De Jong, Amarda Shehu
2012	—	`ch.`	Evolutionary Optimization. Variants of Evolutionary Algorithms for Real-World Applications Christian Blum, Raymond Chiong, Maurice Clerc, Kenneth A. De Jong, Zbigniew Michalewicz, Ferrante Neri, Thomas Weise
2012	J	`jnl`	Evolutionary computation and agent-based modeling: biologically-inspired approaches for understanding complex social systems. Comput. Math. Organ. Theory Claudio Cioffi-Revilla, Kenneth A. De Jong, Jeffrey K. Bassett
2012	—	`conf`	Evolutionary computation: a unified approach. GECCO (Companion) Kenneth A. De Jong
2012	—	`ch.`	Generalized Evolutionary Algorithms. Handbook of Natural Computing Kenneth A. De Jong
2012	A	`conf`	Genetic programming needs better benchmarks. GECCO 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
2011	J	`jnl`	A Two-Stage Evolutionary Approach for Effective Classification of hypersensitive DNA Sequences. J. Bioinform. Comput. Biol. Uday Kamath, Amarda Shehu, Kenneth A. De Jong
2011	B	`conf`	An evolutionary-based approach for feature generation: Eukaryotic promoter recognition. IEEE Congress on Evolutionary Computation Uday Kamath, Kenneth A. De Jong, Amarda Shehu
2011	B	`conf`	Detecting Student Metacognition and Learning in Problem Solving with Biologically Inspired Cognitive Architectures. CogSci Alexei V. Samsonovich, Anastasia Kitsantas, Ellen O'Brien, Kenneth A. De Jong
2011	—	`conf`	Evolutionary computation: a unified approach. GECCO (Companion) Kenneth A. De Jong
2011	B	`conf`	Optimization of spectral signatures selection using multi-objective genetic algorithms. IEEE Congress on Evolutionary Computation Mohamad M. Awad, Kenneth A. De Jong
2011	A	`conf`	Using multivariate quantitative genetics theory to assist in EA customization. FOGA Jeffrey Kermes Bassett, Kenneth A. De Jong
2010	—	`conf`	Assessing the Role of Metacognition in GMU BICA. BICA Michael Q. Kalish, Alexei V. Samsonovich, Mark Coletti, Kenneth A. De Jong
2010	—	`conf`	Assessment of the Critical Components of a Transformative Self-Regulated Learning Assistant. AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems Alexei V. Samsonovich, Kenneth A. De Jong, Anastasia Kitsantas, Ellen O'Brien
2010	—	`conf`	Evolutionary computation: a unified approach. GECCO (Companion) Kenneth A. De Jong
2010	—	`conf`	Evolutionary computation: challenges for the 21st century. BADS@ICAC Kenneth A. De Jong
2010	—	`conf`	Feature and Kernel Evolution for Recognition of Hypersensitive Sites in DNA Sequences. BIONETICS Uday Kamath, Amarda Shehu, Kenneth A. De Jong
2010	A	`conf`	Selecting predictive features for recognition of hypersensitive sites of regulatory genomic sequences with an evolutionary algorithm. GECCO Uday Kamath, Kenneth A. De Jong, Amarda Shehu
2010	B	`conf`	Using evolutionary computation to improve SVM classification. IEEE Congress on Evolutionary Computation Uday Kamath, Amarda Shehu, Kenneth A. De Jong
2009	—	`conf`	A unified approach to Evolutionary Computation. GECCO (Companion) Kenneth A. De Jong
2009	A	`conf`	Monotonicity versus performance in co-optimization. FOGA Elena Popovici, Kenneth A. De Jong
2009	A	`conf`	The relationship between evolvability and bloat. GECCO Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jong
2008	J	`jnl`	Co-evolution of terrorist and security scenarios for water distribution systems. Adv. Eng. Softw. Zbigniew Skolicki, Tomasz Arciszewski, M. H. Houck, Kenneth A. De Jong
2008	—	`conf`	Cognitive Constructor: An Intelligent Tutoring System Based on a Biologically Inspired Cognitive Architecture (BICA). AGI Alexei V. Samsonovich, Kenneth A. De Jong, Anastasia Kitsantas, Erin E. Peters, Nada Dabbagh, M. Layne Kalbfleisch
2008	A*	`conf`	Contrast-Set Mining of Aircraft Accidents and Incidents. ICDM Zohreh Nazeri, Daniel Barbará, Kenneth A. De Jong, George L. Donohue, Lance Sherry
2008	—	`conf`	Evolutionary computation: a unified approach. GECCO (Companion) Kenneth A. De Jong
2008	J	`jnl`	Evolving intelligent agents: A 50 year quest. IEEE Comput. Intell. Mag. Kenneth A. De Jong
2007	—	`conf`	Evolutionary computation: a unified approach. GECCO (Companion) Kenneth A. De Jong
2007	—	`ch.`	Parameter Setting in EAs: a 30 Year Perspective. Parameter Setting in Evolutionary Algorithms Kenneth A. De Jong
2007	B	`conf`	The importance of a two-level perspective for island model design. IEEE Congress on Evolutionary Computation Zbigniew Skolicki, Kenneth A. De Jong
2006	B	`conf`	Computational Assessment of the 'Magic' of Human Cognition. IJCNN Alexei V. Samsonovich, Giorgio A. Ascoli, Kenneth A. De Jong
2006	—	`book`	Evolutionary computation - a unified approach. Kenneth A. De Jong
2006	B	`conf`	Sequential versus Parallel Cooperative Coevolutionary Algorithms for Optimization. IEEE Congress on Evolutionary Computation Elena Popovici, Kenneth A. De Jong
2006	J	`jnl`	The dynamics of the best individuals in co-evolution. Nat. Comput. Elena Popovici, Kenneth A. De Jong
2006	A	`conf`	The effects of interaction frequency on the optimization performance of cooperative coevolution. GECCO Elena Popovici, Kenneth A. De Jong
2005	—	`conf`	A Dynamical Systems Analysis of Collaboration Methods in Cooperative Co-evolution. AAAI Fall Symposium: Coevolutionary and Coadaptive Systems Elena Popovici, Kenneth A. De Jong
2005	A	`conf`	Applying price's equation to survival selection. GECCO Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong
2005	J	`jnl`	Emergent Designer: An Integrated Research and Design Support Tool Based on Models of Complex Systems. J. Inf. Technol. Constr. Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De Jong
2005	—	`conf`	Evaluating the XCS learning classifier system in competitive simultaneous learning environments. GECCO Workshops Neera P. Sood, Ashley G. Williams, Kenneth A. De Jong
2005	A	`ed.`	Foundations of Genetic Algorithms, 8th International Workshop, FOGA 2005, Aizu-Wakamatsu City, Japan, January 5-9, 2005, Revised Selected Papers FOGA Alden H. Wright, Michael D. Vose, Kenneth A. De Jong, Lothar M. Schmitt
2005	J	`jnl`	On the Choice of the Offspring Population Size in Evolutionary Algorithms. Evol. Comput. Thomas Jansen, Kenneth A. De Jong, Ingo Wegener
2005	A	`conf`	Parameterized versus generative representations in structural design: an empirical comparison. GECCO Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De Jong
2005	A	`conf`	Pricing the 'free lunch' of meta-evolution. GECCO Alexei V. Samsonovich, Kenneth A. De Jong
2005	B	`conf`	Relationships between internal and external metrics in co-evolution. Congress on Evolutionary Computation Elena Popovici, Kenneth A. De Jong
2005	A	`conf`	The influence of migration sizes and intervals on island models. GECCO Zbigniew Skolicki, Kenneth A. De Jong
2005	A	`conf`	Understanding cooperative co-evolutionary dynamics via simple fitness landscapes. GECCO Elena Popovici, Kenneth A. De Jong
2004	—	`conf`	A General-Purpose Computational Model of the Conscious Mind. ICCM Alexei V. Samsonovich, Kenneth A. De Jong
2004	A	`conf`	Improving Evolutionary Algorithms with Multi-representation Island Models. PPSN Zbigniew Skolicki, Kenneth A. De Jong
2004	—	`conf`	Improving the Locality Properties of Binary Representations. GECCO (1) Adrian Grajdeanu, Kenneth A. De Jong
2004	—	`conf`	Looking Under the EA Hood with Price's Equation. GECCO (1) Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong
2004	B	`conf`	Morphogenesis and structural design: cellular automata representations of steel structures in tall buildings. IEEE Congress on Evolutionary Computation Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De Jong
2004	—	`conf`	Understanding Competitive Co-Evolutionary Dynamics via Fitness Landscapes. AAAI Technical Report (2) Elena Popovici, Kenneth A. De Jong
2003	A*	`conf`	Characteristics of Long-term Learning in Soar and its Application to the Utility Problem. ICML William G. Kennedy, Kenneth A. De Jong
2003	A	`ed.`	Proceedings of the Seventh Workshop on Foundations of Genetic Algorithms, Torremolinos, Spain, September 2-4, 2002 FOGA Kenneth A. De Jong, Riccardo Poli, Jonathan E. Rowe
2003	A	`conf`	Understanding EA Dynamics via Population Fitness Distributions. GECCO Elena Popovici, Kenneth A. De Jong
2003	B	`conf`	Visualizing evolvability with Price's equation. IEEE Congress on Evolutionary Computation Mitchell A. Potter, Jeffrey K. Bassett, Kenneth A. De Jong
2002	B	`conf`	A blended population approach to cooperative coevolution for decomposition of complex problems. IEEE Congress on Evolutionary Computation Donald Sofge, Kenneth A. De Jong, Alan C. Schultz
2002	A	`conf`	An Analysis Of The Role Of Offspring Population Size In EAs. GECCO Thomas Jansen, Kenneth A. De Jong
2002	B	`conf`	Analyzing cooperative coevolution with evolutionary game theory. IEEE Congress on Evolutionary Computation R. Paul Wiegand, William C. Liles, Kenneth A. De Jong
2002	A	`conf`	Editorial Introduction. FOGA Kenneth A. De Jong, Riccardo Poli, Jonathan E. Rowe
2002	—	`conf`	Evolutionary Computational Approaches to Solving the Multiple Traveling Salesman Problem Using a Neighborhood Attractor Schema. EvoWorkshops Donald Sofge, Alan C. Schultz, Kenneth A. De Jong
2002	A	`conf`	Modeling Variation in Cooperative Coevolution Using Evolutionary Game Theory. FOGA R. Paul Wiegand, William C. Liles, Kenneth A. De Jong
2002	A	`conf`	The Effects of Representational Bias on Collaboration Methods in Cooperative Coevolution. PPSN R. Paul Wiegand, William C. Liles, Kenneth A. De Jong
2001	—	`conf`	Measurement of Population Diversity. Artificial Evolution Ronald W. Morrison, Kenneth A. De Jong
2001	J	`jnl`	Time-series forecasting using GA-tuned radial basis functions. Inf. Sci. Alaa F. Sheta, Kenneth A. De Jong
2000	A	`conf`	A GA-Based Method for Function Approximation Using Adaptive Interpolation. GECCO Rida E. Moustafa, Kenneth A. De Jong, Edward J. Wegman
2000	J	`jnl`	Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents. Evol. Comput. Mitchell A. Potter, Kenneth A. De Jong
2000	J	`jnl`	Evolutionary Computation in Structural Design. Eng. Comput. Krzysztof Murawski, Tomasz Arciszewski, Kenneth A. De Jong
2000	C	`conf`	Evolving Behaviors for Cooperating Agents. ISMIS Jeffrey K. Bassett, Kenneth A. De Jong
2000	B	`conf`	Robust nonlinear control design using competitive coevolution. CEC Jean-Michel Claverie, Kenneth A. De Jong, Alaa F. Sheta
2000	B	`conf`	Triggered hypermutation revisited. CEC Ronald W. Morrison, Kenneth A. De Jong
1999	B	`conf`	A test problem generator for non-stationary environments. CEC Ronald W. Morrison, Kenneth A. De Jong
1999	B	`conf`	An examination of building block dynamics in different representations. CEC Annie S. Wu, Kenneth A. De Jong
1999	J	`jnl`	Evolutionary Computation for Discovery. Commun. ACM Kenneth A. De Jong
1999	—	`conf`	Evolutionary Computation: Where We Are and where We're Headed. Fuzzy Days Kenneth A. De Jong
1999	C	`conf`	Evolving in a Changing World. ISMIS Kenneth A. De Jong
1999	B	`conf`	The usefulness of tag bits in changing environments. CEC William C. Liles, Kenneth A. De Jong
1999	B	`conf`	Visual analysis of evolutionary algorithms. CEC Annie S. Wu, Kenneth A. De Jong, Donald S. Burke, John J. Grefenstette, Connie Loggia Ramsey
1998	A	`conf`	Dining with GAs: Operator Lunch Theorems. FOGA William M. Spears, Kenneth A. De Jong
1998	J	`jnl`	Evolutionary Computation: Where We Are and Where We're Headed. Fundam. Informaticae Kenneth A. De Jong
1998	J	`jnl`	Feature Space Transformation Using Genetic Algorithms. IEEE Intell. Syst. Haleh Vafaie, Kenneth A. De Jong
1998	A	`conf`	Genome Length as an Evolutionary Self-adaptation. PPSN Connie Loggia Ramsey, Kenneth A. De Jong, John J. Grefenstette, Annie S. Wu, Donald S. Burke
1998	—	`conf`	Learning in Agent-Oriented Worlds (Abstract). ECML Kenneth A. De Jong
1998	J	`jnl`	Putting More Genetics into Genetic Algorithms. Evol. Comput. Donald S. Burke, Kenneth A. De Jong, John J. Grefenstette, Connie Loggia Ramsey, Annie S. Wu
1998	A	`conf`	The Coevolution of Antibodies for Concept Learning. PPSN Mitchell A. Potter, Kenneth A. De Jong
1997	—	`conf`	An Analysis of Local Selection Algorithms in a Spatially Structured Evolutionary Algorithm. ICGA Jayshree Sarma, Kenneth A. De Jong
1997	—	`conf`	Using Problem Generators to Explore the Effects of Epistasis. ICGA Kenneth A. De Jong, Mitchell A. Potter, William M. Spears
1996	A	`conf`	An Analysis of the Effects of Neighborhood Size and Shape on Local Selection Algorithms. PPSN Jayshree Sarma, Kenneth A. De Jong
1996	A	`conf`	Analyzing GAs Using Markov Models with Semantically Ordered and Lumped States. FOGA William M. Spears, Kenneth A. De Jong
1996	C	`conf`	On Evolving Intelligence . ISMIS Kenneth A. De Jong
1996	J	`jnl`	Using Learning to Facilitate the Evolution of Features for Recognizing Visual Concepts. Evol. Comput. Jerzy W. Bala, Kenneth A. De Jong, Jeffrey Huang, Haleh Vafaie, Harry Wechsler
1996	B	`conf`	Visual routine for eye detection using hybrid genetic architectures. ICPR Jerzy W. Bala, Kenneth A. De Jong, Jeffrey Huang, Haleh Vafaie, Harry Wechsler
1995	—	`conf`	A Coevolutionary Approach to Learning Sequential Decision Rules. ICGA Mitchell A. Potter, Kenneth A. De Jong, John J. Grefenstette
1995	B	`conf`	An object-oriented toolkit for evolutionary algorithms. ICTAI Pawel A. Stefanski, H. Hadon Nash, Kenneth A. De Jong
1995	—	`conf`	Evolving Complex Structures via Cooperative Coevolution. Evolutionary Programming Kenneth A. De Jong, Mitchell A. Potter
1995	B	`conf`	Genetic algorithms as a tool for restructuring feature space representations. ICTAI Haleh Vafaie, Kenneth A. De Jong
1995	A*	`conf`	Hybrid Learning Using Genetic Algorithms and Decision Trees for Pattern Classification. IJCAI (1) Jerzy W. Bala, Jeffrey Huang, Haleh Vafaie, Kenneth A. De Jong, Harry Wechsler
1995	—	`conf`	On Decentralizing Selection Algorithms. ICGA Kenneth A. De Jong, Jayshree Sarma
1994	A	`conf`	A Cooperative Coevolutionary Approach to Function Optimization. PPSN Mitchell A. Potter, Kenneth A. De Jong
1994	—	`conf`	An Introduction to Evolutionary Computation and Its Applications. Fuzzy Days Kenneth A. De Jong
1994	A	`conf`	Using Markov Chains to Analyze GAFOs. FOGA Kenneth A. De Jong, William M. Spears, Diana F. Gordon
1993	—	`conf`	An Overview of Evolutionary Computation. ECML William M. Spears, Kenneth A. De Jong, Thomas Bäck, David B. Fogel, Hugo de Garis
1993	—	`conf`	On the State of Evolutionary Computation. ICGA Kenneth A. De Jong, William M. Spears
1993	J	`jnl`	Report on Workshop on High Performance Computing and Communications for Grand Challenge Applications: Computer Vision, Speech and Natural Language Processing, and Artificial Intelligence. IEEE Trans. Knowl. Data Eng. Benjamin W. Wah, Thomas S. Huang, Aravind K. Joshi, Dan I. Moldovan, Yiannis Aloimonos, Ruzena Bajcsy, Dana H. Ballard, Doug DeGroot, Kenneth A. De Jong, Charles R. Dyer, Scott E. Fahlman, Ralph Grishman, Lynette Hirschman, Richard E. Korf, Stephen E. Levinson, Daniel P. Miranker, N. H. Morgan, Sergei Nirenburg, Tomaso A. Poggio, Edward M. Riseman, Craig Stanfil, Salvatore J. Stolfo, Steven L. Tanimoto, Charles C. Weems
1993	B	`conf`	Robust Feature Selection Algorithms. ICTAI Haleh Vafaie, Kenneth A. De Jong
1993	J	`jnl`	Test and Evaluation by Genetic Algorithms. IEEE Expert Alan C. Schultz, John J. Grefenstette, Kenneth A. De Jong
1993	J	`jnl`	Using Genetic Algorithms for Concept Learning. Mach. Learn. Kenneth A. De Jong, William M. Spears, Diana F. Gordon
1992	J	`jnl`	A Formal Analysis of the Role of Multi-Point Crossover in Genetic Algorithms. Ann. Math. Artif. Intell. Kenneth A. De Jong, William M. Spears
1992	A	`conf`	Are Genetic Algorithms Function Optimizers? PPSN Kenneth A. De Jong
1992	A	`conf`	Generation Gaps Revisited. FOGA Kenneth A. De Jong, Jayshree Sarma
1992	A	`conf`	Genetic Algorithms are NOT Function Optimizers. FOGA Kenneth A. De Jong
1992	B	`conf`	Genetic Algorithms as a Tool for Feature Selection in Machine Learning. ICTAI Haleh Vafaie, Kenneth A. De Jong
1991	A*	`conf`	Learning Concept Classification Rules Using Genetic Algorithms. IJCAI Kenneth A. De Jong, William M. Spears
1991	—	`conf`	On the Virtues of Parameterised Uniform Crossover. ICGA William M. Spears, Kenneth A. De Jong
1991	C	`conf`	Using Genetic Algorithms to Improve the Performance of Classification Rules Produced by Symolic Inductive Methods. ISMIS Jerzy W. Bala, Kenneth A. De Jong, Peter Pachowicz
1990	A	`conf`	An Analysis of Multi-Point Crossover. FOGA William M. Spears, Kenneth A. De Jong
1990	A	`conf`	An Analysis of the Interacting Roles of Population Size and Crossover in Genetic Algorithms. PPSN Kenneth A. De Jong, William M. Spears
1990	—	`conf`	Discovery of maximal distance codes using genetic algorithms. TAI Kejitan Dontas, Kenneth A. De Jong
1990	—	`conf`	Generation of feature detectors for texture discrimination by genetic search. TAI Jerzy W. Bala, Kenneth A. De Jong
1990	—	`conf`	Using genetic algorithms for supervised concept learning. TAI William M. Spears, Kenneth A. De Jong
1989	—	`conf`	Using Genetic Algorithms to Solve NP-Complete Problems. ICGA Kenneth A. De Jong, William M. Spears
1988	J	`jnl`	Learning with Genetic Algorithms: An Overview. Mach. Learn. Kenneth A. De Jong
1988	—	`conf`	Using Experience-Based Learning in Game Playing. ML Kenneth A. De Jong, Alan C. Schultz
1987	—	`conf`	On Using Genetic Algorithms to Search Program Spaces. ICGA Kenneth A. De Jong
1985	—	`conf`	Genetic algorithms: A 10 Year Perspective. ICGA Kenneth A. De Jong
1979	A	`conf`	The academic/industry gap in systems programming and operating systems. SIGCSE William M. Conner, Kenneth A. De Jong
1975	—	`—`	An Analysis Of The Behavior Of A Class Of Genetic Adaptive Systems. Kenneth A. De Jong