Kenneth A. De Jong

	2011
74		Jeffrey Kermes Bassett, Kenneth A. De Jong: Using multivariate quantitative genetics theory to assist in EA customization. FOGA 2011: 219-230
73		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
72		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)
	2010
71		Michael Q. Kalish, Alexei V. Samsonovich, Mark Coletti, Kenneth A. De Jong: Assessing the Role of Metacognition in GMU BICA. BICA 2010: 72-77
70		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
69		Uday Kamath, Amarda Shehu, Kenneth A. De Jong: Using evolutionary computation to improve SVM classification. IEEE Congress on Evolutionary Computation 2010: 1-8
	2009
68		Elena Popovici, Kenneth A. De Jong: Monotonicity versus performance in co-optimization. FOGA 2009: 151-170
67		Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jong: The relationship between evolvability and bloat. GECCO 2009: 1899-1900
	2008
66		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
	2006
65		Kenneth A. De Jong: Evolutionary computation - a unified approach. MIT Press 2006: I-IX, 1-256
64		Elena Popovici, Kenneth A. De Jong: The effects of interaction frequency on the optimization performance of cooperative coevolution. GECCO 2006: 353-360
63		Alexei V. Samsonovich, Giorgio A. Ascoli, Kenneth A. De Jong: Computational Assessment of the 'Magic' of Human Cognition. IJCNN 2006: 443-450
62		Elena Popovici, Kenneth A. De Jong: The dynamics of the best individuals in co-evolution. Natural Computing 5(3): 229-255 (2006)
	2005
61		Alden H. Wright, Michael D. Vose, Kenneth A. De Jong, Lothar M. Schmitt: Foundations of Genetic Algorithms, 8th International Workshop, FOGA 2005, Aizu-Wakamatsu City, Japan, January 5-9, 2005, Revised Selected Papers Springer 2005
60		Elena Popovici, Kenneth A. De Jong: Relationships between internal and external metrics in co-evolution. Congress on Evolutionary Computation 2005: 2800-2807
59		Zbigniew Skolicki, Kenneth A. De Jong: The influence of migration sizes and intervals on island models. GECCO 2005: 1295-1302
58		Alexei V. Samsonovich, Kenneth A. De Jong: Pricing the 'free lunch' of meta-evolution. GECCO 2005: 1355-1362
57		Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong: Applying price's equation to survival selection. GECCO 2005: 1371-1378
56		Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De Jong: Parameterized versus generative representations in structural design: an empirical comparison. GECCO 2005: 2007-2014
55		Elena Popovici, Kenneth A. De Jong: Understanding cooperative co-evolutionary dynamics via simple fitness landscapes. GECCO 2005: 507-514
54		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
53		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)
	2004
52		Adrian Grajdeanu, Kenneth A. De Jong: Improving the Locality Properties of Binary Representations. GECCO (1) 2004: 1186-1196
51		Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong: Looking Under the EA Hood with Price's Equation. GECCO (1) 2004: 914-922
50		Alexei V. Samsonovich, Kenneth A. De Jong: A General-Purpose Computational Model of the Conscious Mind. ICCM 2004: 382-383
49		Zbigniew Skolicki, Kenneth A. De Jong: Improving Evolutionary Algorithms with Multi-representation Island Models. PPSN 2004: 420-429
	2003
48		Kenneth A. De Jong, Riccardo Poli, Jonathan E. Rowe: Proceedings of the Seventh Workshop on Foundations of Genetic Algorithms, Torremolinos, Spain, September 2-4, 2002 Morgan Kaufmann 2003
47		Elena Popovici, Kenneth A. De Jong: Understanding EA Dynamics via Population Fitness Distributions. GECCO 2003: 1604-1605
46		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
	2002
45		Kenneth A. De Jong, Riccardo Poli, Jonathan E. Rowe: Editorial Introduction. FOGA 2002: 1-8
44		R. Paul Wiegand, William C. Liles, Kenneth A. De Jong: Modeling Variation in Cooperative Coevolution Using Evolutionary Game Theory. FOGA 2002: 203-220
43		Thomas Jansen, Kenneth A. De Jong: An Analysis Of The Role Of Offspring Population Size In EAs. GECCO 2002: 238-246
42		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
41		Ronald W. Morrison, Kenneth A. De Jong: Measurement of Population Diversity. Artificial Evolution 2001: 31-41
40		Alaa F. Sheta, Kenneth A. De Jong: Time-series forecasting using GA-tuned radial basis functions. Inf. Sci. 133(3-4): 221-228 (2001)
	2000
39		Rida E. Moustafa, Kenneth A. De Jong, Edward J. Wegman: A GA-Based Method for Function Approximation Using Adaptive Interpolation. GECCO 2000: 378
38		Jeffrey K. Bassett, Kenneth A. De Jong: Evolving Behaviors for Cooperating Agents. ISMIS 2000: 157-165
37		Krzysztof Murawski, Tomasz Arciszewski, Kenneth A. De Jong: Evolutionary Computation in Structural Design. Eng. Comput. (Lond.) 16(3-4): 275-286 (2000)
36		Mitchell A. Potter, Kenneth A. De Jong: Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents. Evolutionary Computation 8(1): 1-29 (2000)
	1999
35		Kenneth A. De Jong: Evolutionary Computation: Where We Are and where We're Headed. Fuzzy Days 1999: 230-231
34		Kenneth A. De Jong: Evolving in a Changing World. ISMIS 1999: 512-519
33		Kenneth A. De Jong: Evolutionary Computation for Discovery. Commun. ACM 42(11): 51-53 (1999)
	1998
32		William M. Spears, Kenneth A. De Jong: Dining with GAs: Operator Lunch Theorems. FOGA 1998: 85-101
31		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
30		Mitchell A. Potter, Kenneth A. De Jong: The Coevolution of Antibodies for Concept Learning. PPSN 1998: 530-539
29		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)
28		Kenneth A. De Jong: Evolutionary Computation: Where We Are and Where We're Headed. Fundam. Inform. 35(1-4): 247-259 (1998)
	1997
27		Jayshree Sarma, Kenneth A. De Jong: An Analysis of Local Selection Algorithms in a Spatially Structured Evolutionary Algorithm. ICGA 1997: 181-187
26		Kenneth A. De Jong, Mitchell A. Potter, William M. Spears: Using Problem Generators to Explore the Effects of Epistasis. ICGA 1997: 338-345
	1996
25		William M. Spears, Kenneth A. De Jong: Analyzing GAs Using Markov Models with Semantically Ordered and Lumped States. FOGA 1996: 85-100
24		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
23		Kenneth A. De Jong, Mitchell A. Potter: Evolving Complex Structures via Cooperative Coevolution. Evolutionary Programming 1995: 307-317
22		Kenneth A. De Jong, Jayshree Sarma: On Decentralizing Selection Algorithms. ICGA 1995: 17-23
21		Mitchell A. Potter, Kenneth A. De Jong, John J. Grefenstette: A Coevolutionary Approach to Learning Sequential Decision Rules. ICGA 1995: 366-372
	1994
20		Kenneth A. De Jong, William M. Spears, Diana F. Gordon: Using Markov Chains to Analyze GAFOs. FOGA 1994: 115-137
19		Kenneth A. De Jong: An Introduction to Evolutionary Computation and Its Applications. Fuzzy Days 1994: 323-331
18		Mitchell A. Potter, Kenneth A. De Jong: A Cooperative Coevolutionary Approach to Function Optimization. PPSN 1994: 249-257
	1993
17		William M. Spears, Kenneth A. De Jong, Thomas Bäck, David B. Fogel, Hugo de Garis: An Overview of Evolutionary Computation. ECML 1993: 442-459
16		Kenneth A. De Jong, William M. Spears: On the State of Evolutionary Computation. ICGA 1993: 618-625
15		Alan C. Schultz, John J. Grefenstette, Kenneth A. De Jong: Test and Evaluation by Genetic Algorithms. IEEE Expert 8(5): 9-14 (1993)
14		Kenneth A. De Jong, William M. Spears, Diana F. Gordon: Using Genetic Algorithms for Concept Learning. Machine Learning 13: 161-188 (1993)
	1992
13		Kenneth A. De Jong, Jayshree Sarma: Generation Gaps Revisited. FOGA 1992: 19-28
12		Kenneth A. De Jong: Genetic Algorithms are NOT Function Optimizers. FOGA 1992: 5-17
11		Haleh Vafaie, Kenneth A. De Jong: Genetic Algorithms as a Tool for Feature Selection in Machine Learning. ICTAI 1992: 200-203
10		Kenneth A. De Jong: Are Genetic Algorithms Function Optimizers? PPSN 1992: 3-14
9		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)
	1991
8		William M. Spears, Kenneth A. De Jong: On the Virtues of Parameterised Uniform Crossover. ICGA 1991: 230-236
7		Kenneth A. De Jong, William M. Spears: Learning Concept Classification Rules Using Genetic Algorithms. IJCAI 1991: 651-657
	1990
6		William M. Spears, Kenneth A. De Jong: An Analysis of Multi-Point Crossover. FOGA 1990: 301-315
5		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
	1989
4		Kenneth A. De Jong, William M. Spears: Using Genetic Algorithms to Solve NP-Complete Problems. ICGA 1989: 124-132
	1988
3		Kenneth A. De Jong, Alan C. Schultz: Using Experience-Based Learning in Game Playing. ML 1988: 284-290
	1987
2		Kenneth A. De Jong: On Using Genetic Algorithms to Search Program Spaces. ICGA 1987: 210-216
	1985
1		Kenneth A. De Jong: Genetic algorithms: A 10 Year Perspective. ICGA 1985: 169-177

Coauthor Index

1	Tomasz Arciszewski	[37] [56]
2	Giorgio A. Ascoli	[63]
3	Thomas Bäck	[17]
4	Jeffrey K. Bassett	[38] [51] [57] [67]
5	Jeffrey Kermes Bassett	[74]
6	Donald S. Burke	[29] [31]
7	Mark Coletti	[67] [71]
8	Nada Dabbagh	[66]
9	David B. Fogel	[17]
10	Hugo de Garis	[17]
11	Adrian Grajdeanu	[52]
12	John J. Grefenstette	[15] [21] [29] [31]
13	Thomas Jansen	[43] [53]
14	M. Layne Kalbfleisch	[66]
15	Michael Q. Kalish	[71]
16	Uday Kamath	[69] [70] [72] [73]
17	William G. Kennedy	[46]
18	Rafal Kicinger	[56]
19	Anastasia Kitsantas	[66]
20	William C. Liles	[42] [44]
21	Ronald W. Morrison	[41]
22	Rida E. Moustafa	[39]
23	Krzysztof Murawski	[37]
24	Erin E. Peters	[66]
25	Riccardo Poli	[45] [48]
26	Elena Popovici	[47] [55] [60] [62] [64] [68]
27	Mitchell A. Potter	[18] [21] [23] [26] [30] [36] [51] [57]
28	Connie Loggia Ramsey	[29] [31]
29	Jonathan E. Rowe	[45] [48]
30	Alexei V. Samsonovich	[50] [58] [63] [66] [71]
31	Jayshree Sarma	[13] [22] [24] [27]
32	Lothar M. Schmitt	[61]
33	Alan C. Schultz	[3] [15]
34	Amarda Shehu	[69] [70] [72] [73]
35	Alaa F. Sheta	[40]
36	Zbigniew Skolicki	[49] [59]
37	Neera P. Sood	[54]
38	Diana F. Spears (Diana F. Gordon-Spears, Diana F. Gordon)	[14] [20]
39	William M. Spears	[4] [5] [6] [7] [8] [9] [14] [16] [17] [20] [25] [26] [32]
40	Haleh Vafaie	[11]
41	Michael D. Vose	[61]
42	Ingo Wegener	[53]
43	Edward J. Wegman	[39]
44	R. Paul Wiegand	[42] [44]
45	Ashley G. Williams	[54]
46	Alden H. Wright	[61]
47	Annie S. Wu	[29] [31]

Colors in the list of coauthors

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