-
1
-
-
84931320658
-
Reducing local optimain single-objective problems by multi- objectivization
-
ser. EMO '01. London, UK: Springer-Verlag
-
J. D. Knowles, R. A. Watson, and D. Corne, "Reducing local optimain single-objective problems by multi-objectivization," in Proceedingsof the First International Conference on Evolutionary Multi-CriterionOptimization, ser. EMO '01. London, UK: Springer-Verlag, 2001, pp.269-283.
-
(2001)
Proceedingsof the First International Conference on Evolutionary Multi-CriterionOptimization
, pp. 269-283
-
-
Knowles, J.D.1
Watson, R.A.2
Corne, D.3
-
3
-
-
20944439075
-
Helper-objectives: Using multi-objective evolutionaryalgorithms for single-objective optimisation: Evolutionary computationcombinatorial optimization
-
M. T. Jensen, "Helper-objectives: Using multi-objective evolutionaryalgorithms for single-objective optimisation: Evolutionary computationcombinatorial optimization," Journal of Mathematical Modelling andAlgorithms, vol. 3, no. 4, pp. 323-347, 2004.
-
(2004)
Journal of Mathematical Modelling AndAlgorithms
, vol.3
, Issue.4
, pp. 323-347
-
-
Jensen, M.T.1
-
4
-
-
80051944883
-
Generation of tests for programming challenge tasks using evolution algorithms
-
New York, US, ACM
-
M. Buzdalov, "Generation of Tests for Programming Challenge TasksUsing Evolution Algorithms," in Proceedings of the 2011 GECCOConference Companion on Genetic and Evolutionary Computation, NewYork, US, ACM, 2011, pp. 763-766.
-
(2011)
Proceedings of the 2011 GECCOConference Companion on Genetic and Evolutionary Computation
, pp. 763-766
-
-
Buzdalov, M.1
-
5
-
-
84857867105
-
Choosing best fitness function withreinforcement learning
-
ICMLA 2011, vol. 2.Honolulu, HI, USA: IEEE Computer Society
-
A. Afanasyeva and M. Buzdalov, "Choosing best fitness function withreinforcement learning," in Proceedings of the Tenth International Conferenceon Machine Learning and Applications, ICMLA 2011, vol. 2.Honolulu, HI, USA: IEEE Computer Society, 2011, pp. 354-357.
-
(2011)
Proceedings of the Tenth International Conferenceon Machine Learning and Applications
, pp. 354-357
-
-
Afanasyeva, A.1
Buzdalov, M.2
-
6
-
-
84873585350
-
Optimization with auxiliary criteriausing evolutionary algorithms and reinforcement learning
-
Brno, Czech Republic
-
A. Afanasyeva and M. Buzdalov, "Optimization with auxiliary criteriausing evolutionary algorithms and reinforcement learning," in Proceedingsof 18th International Conference on Soft Computing MENDEL2012, Brno, Czech Republic, 2012, pp. 58-63.
-
(2012)
Proceedingsof 18th International Conference on Soft Computing MENDEL 2012
, pp. 58-63
-
-
Afanasyeva, A.1
Buzdalov, M.2
-
7
-
-
67649964731
-
Reinforcement learning: A tutorial survey and recentadvances
-
A. Gosavi, "Reinforcement learning: A tutorial survey and recentadvances," INFORMS Journal on Computing, vol. 21, no. 2, pp. 178-192, 2009.
-
(2009)
INFORMS Journal on Computing
, vol.21
, Issue.2
, pp. 178-192
-
-
Gosavi, A.1
-
8
-
-
34147120314
-
Parametercontrol in evolutionary algorithms
-
A. E. Eiben, Z. Michalewicz, M. Schoenauer, and J. E. Smith, "Parametercontrol in evolutionary algorithms," in Parameter Setting inEvolutionary Algorithms, 2007, pp. 19-46.
-
(2007)
Parameter Setting InEvolutionary Algorithms
, pp. 19-46
-
-
Eiben, A.E.1
Michalewicz, Z.2
Schoenauer, M.3
Smith, J.E.4
-
9
-
-
36348980390
-
Reinforcementlearning for online control of evolutionary algorithms
-
Springer-Verlag, Berlin, Heidelberg
-
A. E. Eiben, M. Horvath, W. Kowalczyk, and M. C. Schut, "Reinforcementlearning for online control of evolutionary algorithms," inProceedings of the 4th international conference on Engineering selforganisingsystems ESOA'06. Springer-Verlag, Berlin, Heidelberg,2006, pp. 151-160.
-
(2006)
Proceedings of the 4th International Conference on Engineering Selforganisingsystems ESOA'06
, pp. 151-160
-
-
Eiben, A.E.1
Horvath, M.2
Kowalczyk, W.3
Schut, M.C.4
-
10
-
-
36348992992
-
Step sizeadaptation in evolution strategies using reinforcement learning
-
IEEE
-
S. M̈uller, N. N. Schraudolph, and P. D. Koumoutsakos, "Step sizeadaptation in evolution strategies using reinforcement learning," inProceedings of the Congress on Evolutionary Computation. IEEE,2002, pp. 151-156.
-
(2002)
Proceedings of the Congress on Evolutionary Computation
, pp. 151-156
-
-
M̈uller, S.1
Schraudolph, N.N.2
Koumoutsakos, P.D.3
-
11
-
-
33749255382
-
PAC model-free reinforcement learning
-
A. L. Strehl, L. Li, E. Wiewiora, J. Langford, and M. L. Littman,"PAC Model-free Reinforcement Learning," in Proceedings of the 23rdInternational Conference on Machine Learning (ICML 2006), 2006, pp.881-888.
-
(2006)
Proceedings of the 23rdInternational Conference on Machine Learning (ICML 2006)
, pp. 881-888
-
-
Strehl, A.L.1
Li, L.2
Wiewiora, E.3
Langford, J.4
Littman, M.L.5
-
14
-
-
0005871804
-
Pesa-II: Region-based selection in evolutionary multiobjective optimization
-
Morgan Kaufmann Publishers
-
D. W. Corne, N. R. Jerram, J. D. Knowles, M. J. Oates, and M. J., "Pesa-II: Region-based selection in evolutionary multiobjective optimization,"in Proceedings of the Genetic and Evolutionary Computation Conference(GECCO 2001). Morgan Kaufmann Publishers, 2001, pp. 283-290.
-
(2001)
Proceedings of the Genetic and Evolutionary Computation Conference(GECCO 2001)
, pp. 283-290
-
-
Corne, D.W.1
Jerram, N.R.2
Knowles, J.D.3
Oates, M.J.4
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