-
1
-
-
0037267961
-
A comparison of evolution strategies with other direct search methods in the presence of noise
-
D. V. Arnold and H.-G. Beyer. A comparison of evolution strategies with other direct search methods in the presence of noise. Computational Optimization and Applications, 24:135-159, 2003.
-
(2003)
Computational Optimization and Applications
, vol.24
, pp. 135-159
-
-
Arnold, D.V.1
Beyer, H.-G.2
-
3
-
-
0000421160
-
Toward a theory of evolution strategies: Some asymptotical results from the (1+, λ)-theory
-
H.-G. Beyer. Toward a theory of evolution strategies: Some asymptotical results from the (1+, λ)-theory. Evolutionary Computation, 1(2): 165-188, 1993.
-
(1993)
Evolutionary Computation
, vol.1
, Issue.2
, pp. 165-188
-
-
Beyer, H.-G.1
-
4
-
-
0003815848
-
-
PhD thesis, Northwestern University, Evanston, Illinois, USA
-
J. Boesel. Search and Selection for Large-Scale Stochastic Optimization. PhD thesis, Northwestern University, Evanston, Illinois, USA, 1999.
-
(1999)
Search and Selection for Large-scale Stochastic Optimization
-
-
Boesel, J.1
-
5
-
-
0347556828
-
Usint ranking and selection to "clean up" after simulation optimization
-
J. Boesel, B. L. Nelson, and S. H. Kim. Usint ranking and selection to "clean up" after simulation optimization. Operations Research, 51:814-825, 2003.
-
(2003)
Operations Research
, vol.51
, pp. 814-825
-
-
Boesel, J.1
Nelson, B.L.2
Kim, S.H.3
-
7
-
-
33745765950
-
New developments in ranking and selection: An empirical comparison of the three main approaches
-
N.E. Kuhl, M. N. Steiger, F. B. Armstrong, and J. A. Joines, editors, IEEE
-
J. Branke, S. Chick, and C. Schmidt. New developments in ranking and selection: An empirical comparison of the three main approaches. In N.E. Kuhl, M. N. Steiger, F. B. Armstrong, and J. A. Joines, editors, Winter Simulation Conference, pages 708-717. IEEE, 2005.
-
(2005)
Winter Simulation Conference
, pp. 708-717
-
-
Branke, J.1
Chick, S.2
Schmidt, C.3
-
8
-
-
35248885798
-
Selection in the presence of noise
-
E. Cantu-Paz, editor, Genetic and Evolutionary Computation Conference, Springer
-
J. Branke and C. Schmidt. Selection in the presence of noise. In E. Cantu-Paz, editor, Genetic and Evolutionary Computation Conference, volume 2723 of LNCS, pages 766-777. Springer, 2003.
-
(2003)
LNCS
, vol.2723
, pp. 766-777
-
-
Branke, J.1
Schmidt, C.2
-
9
-
-
35048834682
-
Sequential sampling in noisy environments
-
X. Yao et al, editor, Parallel Problem Solving from Nature, Springer
-
J. Branke and C. Schmidt. Sequential sampling in noisy environments. In X. Yao et al, editor, Parallel Problem Solving from Nature, volume 3242 of LNCS, pages 202-211. Springer, 2004.
-
(2004)
LNCS
, vol.3242
, pp. 202-211
-
-
Branke, J.1
Schmidt, C.2
-
11
-
-
35048901038
-
Adaptive sampling for noisy problems
-
K. Deb et al., editors, Genetic and Evolutionary Computation Conference, Springer
-
E. Cantu-Paz. Adaptive sampling for noisy problems. In K. Deb et al., editors, Genetic and Evolutionary Computation Conference, volume 3102 of LNCS, pages 947-958. Springer, 2004.
-
(2004)
LNCS
, vol.3102
, pp. 947-958
-
-
Cantu-Paz, E.1
-
12
-
-
0030212017
-
A lower bound for the correct subset-selection probability and its application to discrete event simulations
-
C.-H. Chen. A lower bound for the correct subset-selection probability and its application to discrete event simulations. IEEE Transactions on Automatic Control, 41(8):1227-1231, 1996.
-
(1996)
IEEE Transactions on Automatic Control
, vol.41
, Issue.8
, pp. 1227-1231
-
-
Chen, C.-H.1
-
13
-
-
4344586460
-
Applying evolutionary algorithms to problems with noisy, time-consuming fitness functions
-
IEEE
-
A. Di Pietro, L. While, and L. Barone. Applying evolutionary algorithms to problems with noisy, time-consuming fitness functions. In Congress on Evolutionary Computation, pages 1254-1261. IEEE, 2004.
-
(2004)
Congress on Evolutionary Computation
, pp. 1254-1261
-
-
Di Pietro, A.1
While, L.2
Barone, L.3
-
14
-
-
85027497157
-
Evolution strategies on noisy functions, how to improve convergence properties
-
Y. Davidor, H. P. Schwefel, and R. Männer, editors, Parallel Problem Solving from Nature, Springer
-
U. Hammel and T. Bäck. Evolution strategies on noisy functions, how to improve convergence properties. In Y. Davidor, H. P. Schwefel, and R. Männer, editors, Parallel Problem Solving from Nature, volume 866 of LNCS. Springer, 1994.
-
(1994)
LNCS
, vol.866
-
-
Hammel, U.1
Bäck, T.2
-
15
-
-
0035696433
-
A genetic algorithm and an indifference-zone ranking and selection framework for simulation optimization
-
IEEE
-
H. E. Hedlund and M. Mollaghasemi. A genetic algorithm and an indifference-zone ranking and selection framework for simulation optimization. In Winter Simulation Conference, pages 417-421. IEEE, 2001.
-
(2001)
Winter Simulation Conference
, pp. 417-421
-
-
Hedlund, H.E.1
Mollaghasemi, M.2
-
16
-
-
21044438483
-
Evolutionary optimization in uncertain environments - A survey
-
Y. Jin and J. Branke. Evolutionary optimization in uncertain environments - a survey. IEEE Transactions on Evolutionary Computation, 9(3):303-317, 2005.
-
(2005)
IEEE Transactions on Evolutionary Computation
, vol.9
, Issue.3
, pp. 303-317
-
-
Jin, Y.1
Branke, J.2
-
17
-
-
84878524995
-
Averaging efficiently in the presence of noise
-
A. E. Eiben, T. Bäck, M. Schoenauer, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature V, Springer
-
P. Stagge. Averaging efficiently in the presence of noise. In A. E. Eiben, T. Bäck, M. Schoenauer, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature V, volume 1498 of LNCS, pages 188-197. Springer, 1998.
-
(1998)
LNCS
, vol.1498
, pp. 188-197
-
-
Stagge, P.1
|