Kenneth A. De Jong

Orcid: 0000-0002-2799-280X

Affiliations:
  • George Mason University, Fairfax, VA, USA


According to our database1, Kenneth A. De Jong authored at least 163 papers between 1979 and 2023.

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Bibliography

2023
Avoiding excess computation in asynchronous evolutionary algorithms.
Expert Syst. J. Knowl. Eng., June, 2023

Adaptive Stochastic Optimization to Improve Protein Conformation Sampling.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Editorial: Reflecting on Thirty Years of ECJ.
Evol. Comput., 2023

Initialization Matters for Asynchronous Steady-State Evolutionary Algorithms.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Evolutionary Computation Evolving.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

First Complexity Results for Evolutionary Knowledge Transfer.
Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023

2022
Guest Editorial Special Issue on Multitask Evolutionary Computation.
IEEE Trans. Evol. Comput., 2022

2021
Adaptive Conformation Sampling Dataset Zaman_TCBB21.
Dataset, November, 2021

Avoiding Excess Computation in Asynchronous Evolutionary Algorithms.
Proceedings of the Advances in Computational Intelligence Systems, 2021

Differential Spatial Representations in Hippocampal CA1 and Subiculum Emerge in Evolved Spiking Neural Networks.
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.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2019
EML: A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications.
Proceedings of the Innovations in Big Data Mining and Embedded Knowledge, 2019

Using subpopulation EAs to map molecular structure landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Automating Knowledge Transfer with Multi-Task Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
From Optimization to Mapping: An Evolutionary Algorithm for Protein Energy Landscapes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Evolving Simple Models of Diverse Intrinsic Dynamics in Hippocampal Neuron Types.
Frontiers Neuroinformatics, 2018

Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm.
Evol. Comput., 2018

Toward learning neural network encodings for continuous optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Multitask evolution with cartesian genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

An evolutionary algorithm to model structural excursions of a protein.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Evolutionary search for paths on protein energy landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Modeling protein structural transitions as a multiobjective optimization problem.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

Evolving Conformation Paths to Model Protein Structural Transitions.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
Landscape Features for Computationally Expensive Evaluation Functions: Revisiting the Problem of Noise.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

An Evolutionary Framework for Replicating Neurophysiological Data with Spiking Neural Networks.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Evaluation-Time Bias in Quasi-Generational and Steady-State Asynchronous Evolutionary Algorithms.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Path-based Guidance of an Evolutionary Algorithm in Mapping a Fitness Landscape and its Connectivity.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

A Novel EA-based Memetic Approach for Efficiently Mapping Complex Fitness Landscapes.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015
Theoretical and Empirical Analysis of a Parallel Boosting Algorithm.
CoRR, 2015

Co-Evolutionary Algorithms: A Useful Computational Abstraction?
Proceedings of the Search-Based Software Engineering - 7th International Symposium, 2015

Evolutionary Algorithms for Protein Structure Modeling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Evaluation-Time Bias in Asynchronous Evolutionary Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Mapping Multiple Minima in Protein Energy Landscapes with Evolutionary Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Evolution Strategies for Exploring Protein Energy Landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Understanding Simple Asynchronous Evolutionary Algorithms.
Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, Aberystwyth, United Kingdom, January 17, 2015

Cognitive Processes in Preparation for Problem Solving.
Proceedings of the 6th Annual International Conference on Biologically Inspired Cognitive Architectures, 2015

Evolutionary search strategies for efficient sample-based representations of multiple-basin protein energy landscapes.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Evolutionary search algorithms for protein modeling: from de novo structure prediction to comprehensive maps of functionally-relevant structures of protein chains and assemblies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

SAX-EFG: an evolutionary feature generation framework for time series classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Evolutionary computation: a unified approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Off-lattice protein structure prediction with homologous crossover.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

An analysis of a spatial EA parallel boosting algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Generalized Evolutionary Algorithms.
Proceedings of the Handbook of Natural Computing, 2012

An Evolutionary Algorithm Approach for Feature Generation from Sequence Data and Its Application to DNA Splice Site Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Evolutionary computation and agent-based modeling: biologically-inspired approaches for understanding complex social systems.
Comput. Math. Organ. Theory, 2012

A Spatial EA Framework for Parallelizing Machine Learning Methods.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

A Comparison of Artificial Neural Networks and Support Vector Machines on Land Cover Classification.
Proceedings of the Computational Intelligence and Intelligent Systems, 2012

Genetic programming needs better benchmarks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

A new methodology for the GP theory toolbox.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Evolutionary Optimization.
Proceedings of the Variants of Evolutionary Algorithms for Real-World Applications, 2012

2011
A Two-Stage Evolutionary Approach for Effective Classification of hypersensitive DNA Sequences.
J. Bioinform. Comput. Biol., 2011

Using multivariate quantitative genetics theory to assist in EA customization.
Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011

Detecting Student Metacognition and Learning in Problem Solving with Biologically Inspired Cognitive Architectures.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

An evolutionary-based approach for feature generation: Eukaryotic promoter recognition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Optimization of spectral signatures selection using multi-objective genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Evolutionary computation: challenges for the 21st century.
Proceedings of the 2nd Workshop on Bio-Inspired Algorithms for Distributed Systems, 2010

Selecting predictive features for recognition of hypersensitive sites of regulatory genomic sequences with an evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Using evolutionary computation to improve SVM classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Feature and Kernel Evolution for Recognition of Hypersensitive Sites in DNA Sequences.
Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, 2010

Assessing the Role of Metacognition in GMU BICA.
Proceedings of the Biologically Inspired Cognitive Architectures 2010, 2010

Assessment of the Critical Components of a Transformative Self-Regulated Learning Assistant.
Proceedings of the Cognitive and Metacognitive Educational Systems, 2010

2009
A unified approach to Evolutionary Computation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

The relationship between evolvability and bloat.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Monotonicity versus performance in co-optimization.
Proceedings of the Foundations of Genetic Algorithms, 2009

2008
Evolving intelligent agents: A 50 year quest.
IEEE Comput. Intell. Mag., 2008

Co-evolution of terrorist and security scenarios for water distribution systems.
Adv. Eng. Softw., 2008

Contrast-Set Mining of Aircraft Accidents and Incidents.
Proceedings of the Advances in Data Mining. Medical Applications, 2008

Cognitive Constructor: An Intelligent Tutoring System Based on a Biologically Inspired Cognitive Architecture (BICA).
Proceedings of the Artificial General Intelligence 2008, 2008

2007
Parameter Setting in EAs: a 30 Year Perspective.
Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007

The importance of a two-level perspective for island model design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
The dynamics of the best individuals in co-evolution.
Nat. Comput., 2006

Computational Assessment of the 'Magic' of Human Cognition.
Proceedings of the International Joint Conference on Neural Networks, 2006

The effects of interaction frequency on the optimization performance of cooperative coevolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Sequential versus Parallel Cooperative Coevolutionary Algorithms for Optimization.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Evolutionary computation - a unified approach.
MIT Press, ISBN: 978-0-262-04194-2, 2006

2005
Emergent Designer: An Integrated Research and Design Support Tool Based on Models of Complex Systems.
J. Inf. Technol. Constr., 2005

On the Choice of the Offspring Population Size in Evolutionary Algorithms.
Evol. Comput., 2005

Evaluating the XCS learning classifier system in competitive simultaneous learning environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

The influence of migration sizes and intervals on island models.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Pricing the 'free lunch' of meta-evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Understanding cooperative co-evolutionary dynamics via simple fitness landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Parameterized versus generative representations in structural design: an empirical comparison.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Applying price's equation to survival selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Relationships between internal and external metrics in co-evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

A Dynamical Systems Analysis of Collaboration Methods in Cooperative Co-evolution.
Proceedings of the Coevolutionary and Coadaptive Systems, 2005

2004
Improving Evolutionary Algorithms with Multi-representation Island Models.
Proceedings of the Parallel Problem Solving from Nature, 2004

A General-Purpose Computational Model of the Conscious Mind.
Proceedings of the International Conference on Cognitive Modelling, 2004

Improving the Locality Properties of Binary Representations.
Proceedings of the Genetic and Evolutionary Computation, 2004

Looking Under the EA Hood with Price's Equation.
Proceedings of the Genetic and Evolutionary Computation, 2004

Morphogenesis and structural design: cellular automata representations of steel structures in tall buildings.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Understanding Competitive Co-Evolutionary Dynamics via Fitness Landscapes.
Proceedings of the Artificial Multiagent Learning, 2004

2003
Characteristics of Long-term Learning in Soar and its Application to the Utility Problem.
Proceedings of the Machine Learning, 2003

Understanding EA Dynamics via Population Fitness Distributions.
Proceedings of the Genetic and Evolutionary Computation, 2003

Visualizing evolvability with Price's equation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
The Effects of Representational Bias on Collaboration Methods in Cooperative Coevolution.
Proceedings of the Parallel Problem Solving from Nature, 2002

An Analysis Of The Role Of Offspring Population Size In EAs.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Modeling Variation in Cooperative Coevolution Using Evolutionary Game Theory.
Proceedings of the Seventh Workshop on Foundations of Genetic Algorithms, 2002

Editorial Introduction.
Proceedings of the Seventh Workshop on Foundations of Genetic Algorithms, 2002

Evolutionary Computational Approaches to Solving the Multiple Traveling Salesman Problem Using a Neighborhood Attractor Schema.
Proceedings of the Applications of Evolutionary Computing, 2002

Analyzing cooperative coevolution with evolutionary game theory.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

A blended population approach to cooperative coevolution for decomposition of complex problems.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Time-series forecasting using GA-tuned radial basis functions.
Inf. Sci., 2001

Measurement of Population Diversity.
Proceedings of the Artificial Evolution, 2001

2000
Evolutionary Computation in Structural Design.
Eng. Comput., 2000

Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents.
Evol. Comput., 2000

Evolving Behaviors for Cooperating Agents.
Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

A GA-Based Method for Function Approximation Using Adaptive Interpolation.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Triggered hypermutation revisited.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

Robust nonlinear control design using competitive coevolution.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1999
Evolutionary Computation for Discovery.
Commun. ACM, 1999

Evolving in a Changing World.
Proceedings of the Foundations of Intelligent Systems, 11th International Symposium, 1999

Visual analysis of evolutionary algorithms.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

An examination of building block dynamics in different representations.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

A test problem generator for non-stationary environments.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

The usefulness of tag bits in changing environments.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998
Evolutionary Computation: Where We Are and Where We're Headed.
Fundam. Informaticae, 1998

Feature Space Transformation Using Genetic Algorithms.
IEEE Intell. Syst., 1998

Putting More Genetics into Genetic Algorithms.
Evol. Comput., 1998

Genome Length as an Evolutionary Self-adaptation.
Proceedings of the Parallel Problem Solving from Nature, 1998

The Coevolution of Antibodies for Concept Learning.
Proceedings of the Parallel Problem Solving from Nature, 1998

Dining with GAs: Operator Lunch Theorems.
Proceedings of the Fifth Workshop on Foundations of Genetic Algorithms, 1998

Learning in Agent-Oriented Worlds (Abstract).
Proceedings of the Machine Learning: ECML-98, 1998

1997
An Analysis of Local Selection Algorithms in a Spatially Structured Evolutionary Algorithm.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997

Using Problem Generators to Explore the Effects of Epistasis.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997

1996
Using Learning to Facilitate the Evolution of Features for Recognizing Visual Concepts.
Evol. Comput., 1996

An Analysis of the Effects of Neighborhood Size and Shape on Local Selection Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 1996

On Evolving Intelligence .
Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

Visual routine for eye detection using hybrid genetic architectures.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Analyzing GAs Using Markov Models with Semantically Ordered and Lumped States.
Proceedings of the 4th Workshop on Foundations of Genetic Algorithms. San Diego, 1996

1995
Hybrid Learning Using Genetic Algorithms and Decision Trees for Pattern Classification.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Genetic algorithms as a tool for restructuring feature space representations.
Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995

An object-oriented toolkit for evolutionary algorithms.
Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995

A Coevolutionary Approach to Learning Sequential Decision Rules.
Proceedings of the 6th International Conference on Genetic Algorithms, 1995

On Decentralizing Selection Algorithms.
Proceedings of the 6th International Conference on Genetic Algorithms, 1995

Evolving Complex Structures via Cooperative Coevolution.
Proceedings of the Fourth Annual Conference on Evolutionary Programming, 1995

1994
A Cooperative Coevolutionary Approach to Function Optimization.
Proceedings of the Parallel Problem Solving from Nature, 1994

An Introduction to Evolutionary Computation and Its Applications.
Proceedings of the Fuzzy Logik, 1994

Using Markov Chains to Analyze GAFOs.
Proceedings of the Third Workshop on Foundations of Genetic Algorithms. Estes Park, Colorado, USA, July 31, 1994

1993
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., 1993

Using Genetic Algorithms for Concept Learning.
Mach. Learn., 1993

Test and Evaluation by Genetic Algorithms.
IEEE Expert, 1993

Robust Feature Selection Algorithms.
Proceedings of the Fifth International Conference on Tools with Artificial Intelligence, 1993

On the State of Evolutionary Computation.
Proceedings of the 5th International Conference on Genetic Algorithms, 1993

An Overview of Evolutionary Computation.
Proceedings of the Machine Learning: ECML-93, 1993

1992
A Formal Analysis of the Role of Multi-Point Crossover in Genetic Algorithms.
Ann. Math. Artif. Intell., 1992

Are Genetic Algorithms Function Optimizers?
Proceedings of the Parallel Problem Solving from Nature 2, 1992

Genetic Algorithms as a Tool for Feature Selection in Machine Learning.
Proceedings of the Fourth International Conference on Tools with Artificial Intelligence, 1992

Generation Gaps Revisited.
Proceedings of the Second Workshop on Foundations of Genetic Algorithms. Vail, 1992

Genetic Algorithms are NOT Function Optimizers.
Proceedings of the Second Workshop on Foundations of Genetic Algorithms. Vail, 1992

1991
Using Genetic Algorithms to Improve the Performance of Classification Rules Produced by Symolic Inductive Methods.
Proceedings of the Methodologies for Intelligent Systems, 6th International Symposium, 1991

Learning Concept Classification Rules Using Genetic Algorithms.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

On the Virtues of Parameterised Uniform Crossover.
Proceedings of the 4th International Conference on Genetic Algorithms, 1991

1990
An Analysis of the Interacting Roles of Population Size and Crossover in Genetic Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 1st Workshop, 1990

Using genetic algorithms for supervised concept learning.
Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, 1990

Discovery of maximal distance codes using genetic algorithms.
Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, 1990

Generation of feature detectors for texture discrimination by genetic search.
Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, 1990

An Analysis of Multi-Point Crossover.
Proceedings of the First Workshop on Foundations of Genetic Algorithms. Bloomington Campus, 1990

1989
Using Genetic Algorithms to Solve NP-Complete Problems.
Proceedings of the 3rd International Conference on Genetic Algorithms, 1989

1988
Learning with Genetic Algorithms: An Overview.
Mach. Learn., 1988

Using Experience-Based Learning in Game Playing.
Proceedings of the Machine Learning, 1988

1987
On Using Genetic Algorithms to Search Program Spaces.
Proceedings of the 2nd International Conference on Genetic Algorithms, 1987

1985
Genetic algorithms: A 10 Year Perspective.
Proceedings of the 1st International Conference on Genetic Algorithms, 1985

1979
The academic/industry gap in systems programming and operating systems.
Proceedings of the 10th SIGCSE Technical Symposium on Computer Science Education, 1979


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