2008 | ||
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62 | 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 | ||
61 | EE | Elena Popovici, Kenneth A. De Jong: The effects of interaction frequency on the optimization performance of cooperative coevolution. GECCO 2006: 353-360 |
60 | EE | Alexei V. Samsonovich, Giorgio A. Ascoli, Kenneth A. De Jong: Computational Assessment of the 'Magic' of Human Cognition. IJCNN 2006: 443-450 |
59 | EE | Elena Popovici, Kenneth A. De Jong: The dynamics of the best individuals in co-evolution. Natural Computing 5(3): 229-255 (2006) |
2005 | ||
58 | 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 | |
57 | EE | Elena Popovici, Kenneth A. De Jong: Relationships between internal and external metrics in co-evolution. Congress on Evolutionary Computation 2005: 2800-2807 |
56 | EE | Zbigniew Skolicki, Kenneth A. De Jong: The influence of migration sizes and intervals on island models. GECCO 2005: 1295-1302 |
55 | EE | Alexei V. Samsonovich, Kenneth A. De Jong: Pricing the 'free lunch' of meta-evolution. GECCO 2005: 1355-1362 |
54 | EE | Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong: Applying price's equation to survival selection. GECCO 2005: 1371-1378 |
53 | EE | Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De Jong: Parameterized versus generative representations in structural design: an empirical comparison. GECCO 2005: 2007-2014 |
52 | EE | Elena Popovici, Kenneth A. De Jong: Understanding cooperative co-evolutionary dynamics via simple fitness landscapes. GECCO 2005: 507-514 |
51 | EE | 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 |
50 | EE | 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 | ||
49 | EE | Adrian Grajdeanu, Kenneth A. De Jong: Improving the Locality Properties of Binary Representations. GECCO (1) 2004: 1186-1196 |
48 | EE | Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong: Looking Under the EA Hood with Price's Equation. GECCO (1) 2004: 914-922 |
47 | EE | Alexei V. Samsonovich, Kenneth A. De Jong: A General-Purpose Computational Model of the Conscious Mind. ICCM 2004: 382-383 |
46 | EE | Zbigniew Skolicki, Kenneth A. De Jong: Improving Evolutionary Algorithms with Multi-representation Island Models. PPSN 2004: 420-429 |
2003 | ||
45 | EE | Elena Popovici, Kenneth A. De Jong: Understanding EA Dynamics via Population Fitness Distributions. GECCO 2003: 1604-1605 |
44 | 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 | ||
43 | Thomas Jansen, Kenneth A. De Jong: An Analysis Of The Role Of Offspring Population Size In EAs. GECCO 2002: 238-246 | |
42 | EE | 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 | EE | Ronald W. Morrison, Kenneth A. De Jong: Measurement of Population Diversity. Artificial Evolution 2001: 31-41 |
40 | EE | 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 | EE | Jeffrey K. Bassett, Kenneth A. De Jong: Evolving Behaviors for Cooperating Agents. ISMIS 2000: 157-165 |
37 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 |