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Kenneth A. De Jong
2010 – today
- 2012
[j14]Claudio Cioffi-Revilla, Kenneth A. De Jong, Jeffrey K. Bassett: Evolutionary computation and agent-based modeling: biologically-inspired approaches for understanding complex social systems. Computational & Mathematical Organization Theory 18(3): 356-373 (2012)- [j13]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. Biology Bioinform. 9(5): 1387-1398 (2012)
- [p1]Christian Blum, Raymond Chiong, Maurice Clerc, Kenneth A. De Jong, Zbigniew Michalewicz, Ferrante Neri, Thomas Weise: Evolutionary Optimization. Variants of Evolutionary Algorithms for Real-World Applications 2012: 1-29
- [c69]Jeffrey K. Bassett, Uday Kamath, Kenneth A. De Jong: A new methodology for the GP theory toolbox. GECCO 2012: 719-726
- [c68]James McDermott, David R. 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: 791-798
- [c67]Uday Kamath, Johan Kaers, Amarda Shehu, Kenneth A. De Jong: A Spatial EA Framework for Parallelizing Machine Learning Methods. PPSN (1) 2012: 206-215
- 2011
- [j12]Uday Kamath, Amarda Shehu, Kenneth A. De Jong: A Two-Stage Evolutionary Approach for Effective Classification of hypersensitive DNA Sequences. J. Bioinformatics and Computational Biology 9(3): 399-413 (2011)
- [c66]Uday Kamath, Kenneth A. De Jong, Amarda Shehu: An evolutionary-based approach for feature generation: Eukaryotic promoter recognition. IEEE Congress on Evolutionary Computation 2011: 277-284
- [c65]Mohamad M. Awad, Kenneth A. De Jong: Optimization of spectral signatures selection using multi-objective genetic algorithms. IEEE Congress on Evolutionary Computation 2011: 1620-1627
- [c64]Jeffrey Kermes Bassett, Kenneth A. De Jong: Using multivariate quantitative genetics theory to assist in EA customization. FOGA 2011: 219-230
- [c63]
- 2010
- [c62]Michael Q. Kalish, Alexei V. Samsonovich, Mark Coletti, Kenneth A. De Jong: Assessing the Role of Metacognition in GMU BICA. BICA 2010: 72-77
- [c61]Uday Kamath, Amarda Shehu, Kenneth A. De Jong: Feature and Kernel Evolution for Recognition of Hypersensitive Sites in DNA Sequences. BIONETICS 2010: 213-228
- [c60]Uday Kamath, Amarda Shehu, Kenneth A. De Jong: Using evolutionary computation to improve SVM classification. IEEE Congress on Evolutionary Computation 2010: 1-8
- [c59]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: 179-186
- [c58]
2000 – 2009
- 2009
- [c57]Elena Popovici, Kenneth A. De Jong: Monotonicity versus performance in co-optimization. FOGA 2009: 151-170
- [c56]Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jong: The relationship between evolvability and bloat. GECCO 2009: 1899-1900
- [c55]Kenneth A. De Jong: A unified approach to Evolutionary Computation. GECCO (Companion) 2009: 2811-2824
- 2008
- [c54]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: 311-325
- [c53]
- [c52]Zohreh Nazeri, Daniel Barbará, Kenneth A. De Jong, George Donohue, Lance Sherry: Contrast-Set Mining of Aircraft Accidents and Incidents. ICDM 2008: 313-322
- 2006
- [b1]Kenneth A. De Jong: Evolutionary computation - a unified approach. MIT Press 2006, ISBN 978-0-262-04194-2, pp. I-IX, 1-256
- [j11]Elena Popovici, Kenneth A. De Jong: The dynamics of the best individuals in co-evolution. Natural Computing 5(3): 229-255 (2006)
- [c51]Elena Popovici, Kenneth A. De Jong: The effects of interaction frequency on the optimization performance of cooperative coevolution. GECCO 2006: 353-360
- [c50]Alexei V. Samsonovich, Giorgio A. Ascoli, Kenneth A. De Jong: Computational Assessment of the 'Magic' of Human Cognition. IJCNN 2006: 443-450
- 2005
- [j10]Thomas Jansen, Kenneth A. De Jong, Ingo Wegener: On the Choice of the Offspring Population Size in Evolutionary Algorithms. Evolutionary Computation 13(4): 413-440 (2005)
- [c49]Elena Popovici, Kenneth A. De Jong: Relationships between internal and external metrics in co-evolution. Congress on Evolutionary Computation 2005: 2800-2807
- [c48]Neera P. Sood, Ashley G. Williams, Kenneth A. De Jong: Evaluating the XCS learning classifier system in competitive simultaneous learning environments. GECCO Workshops 2005: 112-118
- [c47]Elena Popovici, Kenneth A. De Jong: Understanding cooperative co-evolutionary dynamics via simple fitness landscapes. GECCO 2005: 507-514
- [c46]Zbigniew Skolicki, Kenneth A. De Jong: The influence of migration sizes and intervals on island models. GECCO 2005: 1295-1302
- [c45]Alexei V. Samsonovich, Kenneth A. De Jong: Pricing the 'free lunch' of meta-evolution. GECCO 2005: 1355-1362
- [c44]Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong: Applying price's equation to survival selection. GECCO 2005: 1371-1378
- [c43]Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De Jong: Parameterized versus generative representations in structural design: an empirical comparison. GECCO 2005: 2007-2014
- [e2]Alden H. Wright, Michael D. Vose, Kenneth A. De Jong, Lothar M. Schmitt (Eds.): Foundations of Genetic Algorithms, 8th International Workshop, FOGA 2005, Aizu-Wakamatsu City, Japan, January 5-9, 2005, Revised Selected Papers. Lecture Notes in Computer Science 3469, Springer 2005, ISBN 3-540-27237-2
- 2004
- [c42]Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong: Looking Under the EA Hood with Price's Equation. GECCO (1) 2004: 914-922
- [c41]Adrian Grajdeanu, Kenneth A. De Jong: Improving the Locality Properties of Binary Representations. GECCO (1) 2004: 1186-1196
- [c40]Alexei V. Samsonovich, Kenneth A. De Jong: A General-Purpose Computational Model of the Conscious Mind. ICCM 2004: 382-383
- [c39]Zbigniew Skolicki, Kenneth A. De Jong: Improving Evolutionary Algorithms with Multi-representation Island Models. PPSN 2004: 420-429
- 2003
- [c38]Elena Popovici, Kenneth A. De Jong: Understanding EA Dynamics via Population Fitness Distributions. GECCO 2003: 1604-1605
- [c37]William G. Kennedy, Kenneth A. De Jong: Characteristics of Long-term Learning in Soar and its Application to the Utility Problem. ICML 2003: 337-344
- [e1]Kenneth A. De Jong, Riccardo Poli, Jonathan E. Rowe (Eds.): Proceedings of the Seventh Workshop on Foundations of Genetic Algorithms, Torremolinos, Spain, September 2-4, 2002. Morgan Kaufmann 2003, ISBN 0122081552
- 2002
- [c36]
- [c35]R. Paul Wiegand, William C. Liles, Kenneth A. De Jong: Modeling Variation in Cooperative Coevolution Using Evolutionary Game Theory. FOGA 2002: 203-220
- [c34]Thomas Jansen, Kenneth A. De Jong: An Analysis Of The Role Of Offspring Population Size In EAs. GECCO 2002: 238-246
- [c33]R. Paul Wiegand, William C. Liles, Kenneth A. De Jong: The Effects of Representational Bias on Collaboration Methods in Cooperative Coevolution. PPSN 2002: 257-270
- 2001
- [j9]Alaa F. Sheta, Kenneth A. De Jong: Time-series forecasting using GA-tuned radial basis functions. Inf. Sci. 133(3-4): 221-228 (2001)
- [c32]Ronald W. Morrison, Kenneth A. De Jong: Measurement of Population Diversity. Artificial Evolution 2001: 31-41
- 2000
- [j8]Mitchell A. Potter, Kenneth A. De Jong: Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents. Evolutionary Computation 8(1): 1-29 (2000)
- [j7]Krzysztof Murawski, Tomasz Arciszewski, Kenneth A. De Jong: Evolutionary Computation in Structural Design. Eng. Comput. (Lond.) 16(3-4): 275-286 (2000)
- [c31]Rida E. Moustafa, Kenneth A. De Jong, Edward J. Wegman: A GA-Based Method for Function Approximation Using Adaptive Interpolation. GECCO 2000: 378
- [c30]Jeffrey K. Bassett, Kenneth A. De Jong: Evolving Behaviors for Cooperating Agents. ISMIS 2000: 157-165
1990 – 1999
- 1999
- [j6]
- [c29]Kenneth A. De Jong: Evolutionary Computation: Where We Are and where We're Headed. Fuzzy Days 1999: 230-231
- [c28]
- 1998
- [j5]Donald S. Burke, Kenneth A. De Jong, John J. Grefenstette, Connie Loggia Ramsey, Annie S. Wu: Putting More Genetics into Genetic Algorithms. Evolutionary Computation 6(4): 387-410 (1998)
- [j4]Kenneth A. De Jong: Evolutionary Computation: Where We Are and Where We're Headed. Fundam. Inform. 35(1-4): 247-259 (1998)
- [c27]
- [c26]Connie Loggia Ramsey, Kenneth A. De Jong, John J. Grefenstette, Annie S. Wu, Donald S. Burke: Genome Length as an Evolutionary Self-adaptation. PPSN 1998: 345-356
- [c25]Mitchell A. Potter, Kenneth A. De Jong: The Coevolution of Antibodies for Concept Learning. PPSN 1998: 530-539
- 1997
- [c24]Jayshree Sarma, Kenneth A. De Jong: An Analysis of Local Selection Algorithms in a Spatially Structured Evolutionary Algorithm. ICGA 1997: 181-187
- [c23]Kenneth A. De Jong, Mitchell A. Potter, William M. Spears: Using Problem Generators to Explore the Effects of Epistasis. ICGA 1997: 338-345
- 1996
- [c22]William M. Spears, Kenneth A. De Jong: Analyzing GAs Using Markov Models with Semantically Ordered and Lumped States. FOGA 1996: 85-100
- [c21]Jayshree Sarma, Kenneth A. De Jong: An Analysis of the Effects of Neighborhood Size and Shape on Local Selection Algorithms. PPSN 1996: 236-244
- 1995
- [c20]Kenneth A. De Jong, Mitchell A. Potter: Evolving Complex Structures via Cooperative Coevolution. Evolutionary Programming 1995: 307-317
- [c19]
- [c18]Mitchell A. Potter, Kenneth A. De Jong, John J. Grefenstette: A Coevolutionary Approach to Learning Sequential Decision Rules. ICGA 1995: 366-372
- 1994
- [c17]Kenneth A. De Jong, William M. Spears, Diana F. Gordon: Using Markov Chains to Analyze GAFOs. FOGA 1994: 115-137
- [c16]Kenneth A. De Jong: An Introduction to Evolutionary Computation and Its Applications. Fuzzy Days 1994: 323-331
- [c15]Mitchell A. Potter, Kenneth A. De Jong: A Cooperative Coevolutionary Approach to Function Optimization. PPSN 1994: 249-257
- 1993
- [j3]Alan C. Schultz, John J. Grefenstette, Kenneth A. De Jong: Test and Evaluation by Genetic Algorithms. IEEE Expert 8(5): 9-14 (1993)
- [j2]Kenneth A. De Jong, William M. Spears, Diana F. Gordon: Using Genetic Algorithms for Concept Learning. Machine Learning 13: 161-188 (1993)
- [c14]William M. Spears, Kenneth A. De Jong, Thomas Bäck, David B. Fogel, Hugo de Garis: An Overview of Evolutionary Computation. ECML 1993: 442-459
- [c13]
- 1992
- [j1]Kenneth A. De Jong, William M. Spears: A Formal Analysis of the Role of Multi-Point Crossover in Genetic Algorithms. Ann. Math. Artif. Intell. 5(1): 1-26 (1992)
- [c12]
- [c11]
- [c10]Haleh Vafaie, Kenneth A. De Jong: Genetic Algorithms as a Tool for Feature Selection in Machine Learning. ICTAI 1992: 200-203
- [c9]
- 1991
- [c8]William M. Spears, Kenneth A. De Jong: On the Virtues of Parameterised Uniform Crossover. ICGA 1991: 230-236
- [c7]Kenneth A. De Jong, William M. Spears: Learning Concept Classification Rules Using Genetic Algorithms. IJCAI 1991: 651-657
- 1990
- [c6]
- [c5]Kenneth A. De Jong, William M. Spears: An Analysis of the Interacting Roles of Population Size and Crossover in Genetic Algorithms. PPSN 1990: 38-47
1980 – 1989
- 1989
- [c4]Kenneth A. De Jong, William M. Spears: Using Genetic Algorithms to Solve NP-Complete Problems. ICGA 1989: 124-132
- 1988
- [c3]Kenneth A. De Jong, Alan C. Schultz: Using Experience-Based Learning in Game Playing. ML 1988: 284-290
- 1987
- [c2]
- 1985
- [c1]
Coauthor Index
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last updated on 2012-12-14 16:50 CET by the dblp team