-
1
-
-
65549111685
-
Measurement of the top quark mass with dilepton events selected using neuroevolution at CDF
-
To appear
-
T. Aaltonen et al. Measurement of the top quark mass with dilepton events selected using neuroevolution at CDF. Physical Review Letters, 2009. To appear.
-
(2009)
Physical Review Letters
-
-
Aaltonen, T.1
-
2
-
-
35248820581
-
Exploring the T-Maze: Evolving Learning-Like Robot Behaviors using CTRNNs
-
2nd European Workshop on Evolutionary Robotics EvoRob'2003
-
J. Blynel and D. Floreano. Exploring the T-Maze: Evolving Learning-Like Robot Behaviors using CTRNNs. In 2nd European Workshop on Evolutionary Robotics (EvoRob'2003), Lecture Notes in Computer Science, 2003.
-
(2003)
Lecture Notes in Computer Science
-
-
Blynel, J.1
Floreano, D.2
-
3
-
-
0019856201
-
Classical conditioning in a simple withdrawal reflex in Aplysia californica
-
T. Carew, E. Walters, and E. Kandel. Classical conditioning in a simple withdrawal reflex in Aplysia californica. The Journal of Neuroscience, 1(12):1426-1437, 1981.
-
(1981)
The Journal of Neuroscience
, vol.1
, Issue.12
, pp. 1426-1437
-
-
Carew, T.1
Walters, E.2
Kandel, E.3
-
4
-
-
84958949201
-
Every niching method has its niche: Fitness sharing and implicit sharing compared
-
P. Darwen and Y. Yao. Every niching method has its niche: Fitness sharing and implicit sharing compared. Parallel Problem Solving from Nature (PPSN IV), pages 398-407, 1996.
-
(1996)
Parallel Problem Solving from Nature (PPSN IV)
, pp. 398-407
-
-
Darwen, P.1
Yao, Y.2
-
5
-
-
0343962236
-
Evolutionary robots with online self-organization and behavioral fitness
-
D. Floreano and J. Urzelai. Evolutionary robots with online self-organization and behavioral fitness. Neural Networks, 13:431-443, 2000.
-
(2000)
Neural Networks
, vol.13
, pp. 431-443
-
-
Floreano, D.1
Urzelai, J.2
-
6
-
-
0001903624
-
Genetic algorithms with sharing for multimodal function optimization
-
Hillsdale, NJ, USA, L. Erlbaum Associates Inc
-
D. E. Goldberg and J. Richardson. Genetic algorithms with sharing for multimodal function optimization. In Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application, pages 41-49, Hillsdale, NJ, USA, 1987. L. Erlbaum Associates Inc.
-
(1987)
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
, pp. 41-49
-
-
Goldberg, D.E.1
Richardson, J.2
-
8
-
-
33750240485
-
Alps: The age-layered population structure for reducing the problem of premature convergence
-
New York, NY, USA, ACM
-
G. S. Hornby. Alps: the age-layered population structure for reducing the problem of premature convergence. In GECCO '06: Proceedings of the 8th annual conference on Genetic and evolutionary computation, pages 815-822, New York, NY, USA, 2006. ACM.
-
(2006)
GECCO '06: Proceedings of the 8th annual conference on Genetic and evolutionary computation
, pp. 815-822
-
-
Hornby, G.S.1
-
9
-
-
21244498631
-
The hierarchical fair competition (hfc) framework for sustainable evolutionary algorithms
-
PMID: 15969902
-
J. Hu, E. Goodman, K. Seo, Z. Fan, and R. Rosenberg. The hierarchical fair competition (hfc) framework for sustainable evolutionary algorithms. Evolutionary Computation, 13(2):241-277, 2005. PMID: 15969902.
-
(2005)
Evolutionary Computation
, vol.13
, Issue.2
, pp. 241-277
-
-
Hu, J.1
Goodman, E.2
Seo, K.3
Fan, Z.4
Rosenberg, R.5
-
14
-
-
6344234515
-
Guiding or hiding: Explorations into the effects of learning on the rate of evolution
-
MIT Press
-
G. Mayley. Guiding or hiding: Explorations into the effects of learning on the rate of evolution. In Fourth European Conference on Artificial Life, pages 135-144. MIT Press, 1997.
-
(1997)
Fourth European Conference on Artificial Life
, pp. 135-144
-
-
Mayley, G.1
-
15
-
-
0036972336
-
Evolution of reinforcement learning in uncertain environments: A simple explanation for complex foraging behaviors
-
Y. Niv, D. Joel, I. Meilijson, and E. Ruppin. Evolution of reinforcement learning in uncertain environments: A simple explanation for complex foraging behaviors. Adaptive Behavior, 10(1):5-24, 2002.
-
(2002)
Adaptive Behavior
, vol.10
, Issue.1
, pp. 5-24
-
-
Niv, Y.1
Joel, D.2
Meilijson, I.3
Ruppin, E.4
-
16
-
-
0032682507
-
Learning and evolution
-
July
-
S. Nolfi and D. Floreano. Learning and evolution. Autonomous Robots, 7(1):89-113, July 1999.
-
(1999)
Autonomous Robots
, vol.7
, Issue.1
, pp. 89-113
-
-
Nolfi, S.1
Floreano, D.2
-
18
-
-
84874614281
-
Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios
-
Cambridge, MA, MIT Press
-
A. Soltoggio, J. A. Bullinaria, C. Mattiussi, P. Dürr, and D. Floreano. Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios. In Artificial Life XI, pages 569-576, Cambridge, MA, 2008. MIT Press.
-
(2008)
Artificial Life XI
, pp. 569-576
-
-
Soltoggio, A.1
Bullinaria, J.A.2
Mattiussi, C.3
Dürr, P.4
Floreano, D.5
-
20
-
-
72749109194
-
-
K. O. Stanley. rtNEAT C++ software homepage: www.cs.utexas.edu/users/ nn/keyword?rtneat. 2006-2008.
-
K. O. Stanley. rtNEAT C++ software homepage: www.cs.utexas.edu/users/ nn/keyword?rtneat. 2006-2008.
-
-
-
-
22
-
-
0036594106
-
Evolving neural networks through augmenting topologies
-
K. O. Stanley and R. Miikkulainen. Evolving neural networks through augmenting topologies. Evolutionary Computation, 10:99-127, 2002.
-
(2002)
Evolutionary Computation
, vol.10
, pp. 99-127
-
-
Stanley, K.O.1
Miikkulainen, R.2
|