-
1
-
-
32444449757
-
Intelligent exploration for genetic algorithms: Using self-organizing maps in evolutionary computation
-
H. B. Amor and A. Rettinger. Intelligent exploration for genetic algorithms: Using self-organizing maps in evolutionary computation. In Proc. Genetic and Evolutionary Computation Conference, pages 1531-1538, 2005.
-
(2005)
Proc. Genetic and Evolutionary Computation Conference
, pp. 1531-1538
-
-
Amor, H.B.1
Rettinger, A.2
-
5
-
-
0008092264
-
The race, the hurdle, and the sweet spot
-
P. J. Bentley, editor, Morgan Kaufmann
-
D. Goldberg. The race, the hurdle, and the sweet spot. In P. J. Bentley, editor, Evolutionary Design by Computers, pages 105-118. Morgan Kaufmann, 1999.
-
(1999)
Evolutionary Design by Computers
, pp. 105-118
-
-
Goldberg, D.1
-
6
-
-
0000510934
-
Genetic algorithms, noise, and the sizing of populations
-
D. Goldberg, K. Deb, and J. H. Clark. Genetic algorithms, noise, and the sizing of populations. Complex Systems, 6:333-362, 1992.
-
(1992)
Complex Systems
, vol.6
, pp. 333-362
-
-
Goldberg, D.1
Deb, K.2
Clark, J.H.3
-
8
-
-
0029722015
-
Adapting arbitrary normal mutation distributions in evolution strategies: The covariance matrix adaptation
-
N. Hansen and A. Ostermeier. Adapting arbitrary normal mutation distributions in evolution strategies: The covariance matrix adaptation. In Intl. Conf. on Evolutionary Computation, pages 312-317, 1996.
-
(1996)
Intl. Conf. on Evolutionary Computation
, pp. 312-317
-
-
Hansen, N.1
Ostermeier, A.2
-
11
-
-
21144433756
-
A comprehensive survey of fitness approximation in evolutionary computation
-
Y. Jin. A comprehensive survey of fitness approximation in evolutionary computation. Soft Computing, 9(1):3-12, 2005.
-
(2005)
Soft Computing
, vol.9
, Issue.1
, pp. 3-12
-
-
Jin, Y.1
-
13
-
-
28344432483
-
-
st Intl. Conf. on Bioinspired Optimization Methods and their Applications, pages 41-50, 2004.
-
st Intl. Conf. on Bioinspired Optimization Methods and their Applications, pages 41-50, 2004.
-
-
-
-
15
-
-
35248823865
-
To explore or to exploit: An entropy-driven approach for evolutionary algorithms
-
Technical Report UABCIS-TR-2006-1019-1, Dept. of Computer and Information Sciences, Univ. of Alabama at Birmingham
-
S.-H. Liu, M. Mernik, and B. R. Bryant. To explore or to exploit: An entropy-driven approach for evolutionary algorithms. Technical Report UABCIS-TR-2006-1019-1, Dept. of Computer and Information Sciences, Univ. of Alabama at Birmingham, 2006.
-
(2006)
-
-
Liu, S.-H.1
Mernik, M.2
Bryant, B.R.3
-
19
-
-
1542353692
-
Diversity-guided evolutionary algorithms
-
Springer-Verlag
-
R. Ursem. Diversity-guided evolutionary algorithms. In Parallel Problem Solving from Nature VII, pages 462-471. Springer-Verlag.
-
Parallel Problem Solving from Nature VII
, pp. 462-471
-
-
Ursem, R.1
-
20
-
-
0032685734
-
Evolutionary programming made faster
-
X. Yao, Y. Liu, and G. Lin. Evolutionary programming made faster. IEEE Trans. on Evolutionary Computation, 3(2):82-102, 1999.
-
(1999)
IEEE Trans. on Evolutionary Computation
, vol.3
, Issue.2
, pp. 82-102
-
-
Yao, X.1
Liu, Y.2
Lin, G.3
|