-
2
-
-
0002600702
-
Adaptive selection methods for genetic algorithms
-
Mahwah, NJ, USA. Lawrence Erlbaum Associates, Inc
-
I. E. Baker. Adaptive selection methods for genetic algorithms. In Proceedings of the 1st International Conference on Genetic Algorithms, pages 101-111, Mahwah, NJ, USA, 1985. Lawrence Erlbaum Associates, Inc.
-
(1985)
Proceedings of the 1st International Conference on Genetic Algorithms
, pp. 101-111
-
-
Baker, I.E.1
-
3
-
-
0001860405
-
Three ways to grow designs: A comparison of embryogénies for an evolutionary design problem
-
Orlando, Florida, USA, 13-17 July. Morgan Kaufmann
-
P. Bentley and S. Kumar. Three ways to grow designs: A comparison of embryogénies for an evolutionary design problem. In Proceedings of the Genetic and Evolutionary Computation Conference, volume 1, pages 35-13, Orlando, Florida, USA, 13-17 July 1999. Morgan Kaufmann.
-
(1999)
Proceedings of the Genetic and Evolutionary Computation Conference
, vol.1
, pp. 35-13
-
-
Bentley, P.1
Kumar, S.2
-
7
-
-
34548091150
-
-
PhD thesis, Technical Report 0602, Institute of Computer Science and Applied Mathematics, Christian-Albrechts University. Kiel, Germany, Feb
-
Y. Kassahun. Towards a Unified Approach to Learning and Adaptation. PhD thesis, Technical Report 0602, Institute of Computer Science and Applied Mathematics, Christian-Albrechts University. Kiel, Germany, Feb 2006.
-
(2006)
Towards A Unified Approach to Learning and Adaptation
-
-
Kassahun, Y.1
-
8
-
-
34548077601
-
A common genetic encoding for both direct and indirect encodings of networks
-
Y. Kassahun, M. Edgington, J. H. Metzen, G. Sommer, and F. Kirchner. A common genetic encoding for both direct and indirect encodings of networks. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 1029-1036, 2007.
-
(2007)
Proceedings of the Genetic and Evolutionary Computation Conference
, pp. 1029-1036
-
-
Kassahun, Y.1
Edgington, M.2
Metzen, J.H.3
Sommer, G.4
Kirchner, F.5
-
9
-
-
38149105156
-
A general framework for encoding and evolving neural networks
-
Y. Kassahun, J. H. Metzen, J. de Gea, M. Edgington, and F. Kirchner. A general framework for encoding and evolving neural networks. In Proceedings of the 30th Annual German Conference on Artificial Intelligence, pages 205-219, 9 2007.
-
(2007)
Proceedings of the 30th Annual German Conference on Artificial Intelligence
, vol.9
, pp. 205-219
-
-
Kassahun, Y.1
Metzen, J.H.2
De Gea, J.3
Edgington, M.4
Kirchner, F.5
-
10
-
-
0002933170
-
Designing neural networks using genetic algorithms with graph generation system
-
H. Kitano. Designing neural networks using genetic algorithms with graph generation system. Complex Systems, 4:461-6, 1990.
-
(1990)
Complex Systems
, vol.4
, pp. 461-466
-
-
Kitano, H.1
-
11
-
-
0014265483
-
Mathematical models for cellular interactions in development, parts i and II
-
A. Lindenmayer. Mathematical models for cellular interactions in development, parts I and II. Journal of Theoretical Biology, 18:280-315, 1968.
-
(1968)
Journal of Theoretical Biology
, vol.18
, pp. 280-315
-
-
Lindenmayer, A.1
-
12
-
-
0003655029
-
-
MIT Press, Massachusetts, London
-
S. Nolfi and D. Floreano. Evolutionary Robotics. The Biology, Intelligence, and Technology of Self-Organizing Machines. MIT Press, Massachusetts, London, 2000.
-
(2000)
Evolutionary Robotics. The Biology, Intelligence, and Technology of Self-Organizing Machines
-
-
Nolfi, S.1
Floreano, D.2
-
14
-
-
34548100616
-
Acquiring evolvability through adaptive representations
-
New York, NY, USA. ACM Press
-
J. Reisinger and R. Miikkulainen. Acquiring evolvability through adaptive representations. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 1045-1052, New York, NY, USA, 2007. ACM Press.
-
(2007)
Proceedings of the Genetic and Evolutionary Computation Conference
, pp. 1045-1052
-
-
Reisinger, J.1
Miikkulainen, R.2
-
15
-
-
44049097287
-
-
John Wiley & Sons, Inc., New York, NY, USA
-
H.-P. P. Schwefel. Evolution and Optimum Seeking: The Sixth Generation. John Wiley & Sons, Inc., New York, NY, USA, 1993
-
(1993)
Evolution and Optimum Seeking: The Sixth Generation
-
-
Schwefel, H.-P.P.1
-
16
-
-
33744755428
-
Variable encoding of modular neural networks for time series prediction
-
B. Sendhoff and M. Kreutz. Variable encoding of modular neural networks for time series prediction. In Congress on Evolutionäry Computation, pages 259-266, 1999.
-
(1999)
Congress on Evolutionäry Computation
, pp. 259-266
-
-
Sendhoff, B.1
Kreutz, M.2
-
18
-
-
27144536042
-
-
PhD thesis, Artificial Intelligence Laboratory. The University of Texas at Austin., Austin, USA, Aug
-
K. O. Stanley. Efficient Evolution of Neural Networks through Complexification. PhD thesis, Artificial Intelligence Laboratory. The University of Texas at Austin., Austin, USA, Aug 2004.
-
(2004)
Efficient Evolution of Neural Networks Through Complexification
-
-
Stanley, K.O.1
-
19
-
-
37249034293
-
Keepaway soccer: From machine learning testbed to benchmark
-
Springer Verlag, Berlin
-
P. Stone, G. Kuhlmann, M. E. Taylor, and Y. Liu. Keepaway soccer: From machine learning testbed to benchmark. In RoboCup-2005: Robot Soccer World Cup IX, volume 4020, pages 93-105. Springer Verlag, Berlin, 2006.
-
(2006)
RoboCup-2005: Robot Soccer World Cup IX
, vol.4020
, pp. 93-105
-
-
Stone, P.1
Kuhlmann, G.2
Taylor, M.E.3
Liu, Y.4
-
20
-
-
27544506565
-
Reinforcement learning for robocup-soccer keepaway
-
P. Stone, R. S. Sutton, and G. Kuhlmann. Reinforcement learning for RoboCup-soccer Keepaway. Adaptive Behavior. 13(3):165-188, 2005.
-
(2005)
Adaptive Behavior
, vol.13
, Issue.3
, pp. 165-188
-
-
Stone, P.1
Sutton, R.S.2
Kuhlmann, G.3
-
24
-
-
33646714634
-
Evolutionary function approximation for reinforcement learning
-
May
-
S. Whiteson and P. Stone. Evolutionary function approximation for reinforcement learning. Journal of Machine Learning Research, 7:877-917, May 2006.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 877-917
-
-
Whiteson, S.1
Stone, P.2
-
25
-
-
33847264400
-
Empirical studies in action selection for reinforcement learning
-
March
-
S. Whiteson, M. E. Taylor, and P. Stone. Empirical studies in action selection for reinforcement learning. Adaptive Behavior, 15(l):33-50, March 2007.
-
(2007)
Adaptive Behavior
, vol.15
, Issue.1
, pp. 33-50
-
-
Whiteson, S.1
Taylor, M.E.2
Stone, P.3
-
26
-
-
0027701513
-
Genetic reinforcement learning for neurocontrol problems
-
D. Whitley, S. Dominic, R. Das, and C. W. Anderson. Genetic reinforcement learning for neurocontrol problems. Machine Learning, 13:259-284, 1993.
-
(1993)
Machine Learning
, vol.13
, pp. 259-284
-
-
Whitley, D.1
Dominic, S.2
Das, R.3
Anderson, C.W.4
-
27
-
-
0033362601
-
Evolving artificial neural networks
-
X. Yao. Evolving artificial neural networks. Proceedings of the IEEE,87(9): 1423-1447, 1999.
-
(1999)
Proceedings of the IEEE
, vol.87
, Issue.9
, pp. 1423-1447
-
-
Yao, X.1
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