-
1
-
-
0002651837
-
An overview of evolutionary algorithms for parameter optimization
-
Bäck Th., Schwefel H.-P. An overview of evolutionary algorithms for parameter optimization. Evolutionary Computation. 1:1993;1-24.
-
(1993)
Evolutionary Computation
, vol.1
, pp. 1-24
-
-
Bäck, Th.1
Schwefel, H.-P.2
-
2
-
-
34249832377
-
A Bayesian method for the induction of probabilistic networks from data
-
Cooper G.F., Herskovits E.A. A Bayesian method for the induction of probabilistic networks from data. Machine Learning. 9:1992;309-347.
-
(1992)
Machine Learning
, vol.9
, pp. 309-347
-
-
Cooper, G.F.1
Herskovits, E.A.2
-
5
-
-
0003143606
-
On the probability theory of linkage in Mendelian heredity
-
Geiringer H. On the probability theory of linkage in Mendelian heredity. Annals of Mathemathical Statistics. 15:1944;25-57.
-
(1944)
Annals of Mathemathical Statistics
, vol.15
, pp. 25-57
-
-
Geiringer, H.1
-
7
-
-
0002819121
-
A comparative analysis of selection schemes used in genetic algorithms
-
Rawlins G. San Mateo: Morgan Kaufmann
-
Goldberg D.E., Deb K. A comparative analysis of selection schemes used in genetic algorithms. Rawlins G. Foundations of Genetic Algorithms. 1991;69-93 Morgan Kaufmann, San Mateo.
-
(1991)
Foundations of Genetic Algorithms
, pp. 69-93
-
-
Goldberg, D.E.1
Deb, K.2
-
11
-
-
84990479742
-
An efficient heuristic procedure for partitioning graphs
-
Kernighan B.W., Lin S. An efficient heuristic procedure for partitioning graphs. Bell System Technical Journal. 2:1970;291-307.
-
(1970)
Bell System Technical Journal
, vol.2
, pp. 291-307
-
-
Kernighan, B.W.1
Lin, S.2
-
14
-
-
0001300335
-
Combinatorial optimization by learning and simulation of Bayesian networks
-
Boutilier C. Goldszmidt M. Stanford: Morgan Kaufmann
-
Larrañaga P., Etxeberria R., Lozano J.A., Pen̈a J.M. Combinatorial optimization by learning and simulation of Bayesian networks. Boutilier C., Goldszmidt M. Proceedings of 16th Conference on Uncertainty in Artificial Intelligence. 2000;343-352 Morgan Kaufmann, Stanford.
-
(2000)
Proceedings of 16th Conference on Uncertainty in Artificial Intelligence
, pp. 343-352
-
-
Larrañaga, P.1
Etxeberria, R.2
Lozano, J.A.3
Pen̈a, J.M.4
-
18
-
-
0034154795
-
Fitness landscapes, memetic algorithms, and greedy operators for graph bipartitioning
-
Merz P., Freisleben B. Fitness landscapes, memetic algorithms, and greedy operators for graph bipartitioning. Evolutionary Computation. 8(1):2000;61-91.
-
(2000)
Evolutionary Computation
, vol.8
, Issue.1
, pp. 61-91
-
-
Merz, P.1
Freisleben, B.2
-
19
-
-
0031215849
-
The equation for response to selection and its use for prediction
-
Mühlenbein H. The equation for response to selection and its use for prediction. Evolutionary Computation. 5(3):1998;303-346.
-
(1998)
Evolutionary Computation
, vol.5
, Issue.3
, pp. 303-346
-
-
Mühlenbein, H.1
-
20
-
-
0033258156
-
FDA - A scalable evolutionary algorithm for the optimization of additively decomposed functions
-
Mühlenbein H., Mahnig T. FDA - a scalable evolutionary algorithm for the optimization of additively decomposed functions. Evolutionary Computation. 7(4):1999;353-376.
-
(1999)
Evolutionary Computation
, vol.7
, Issue.4
, pp. 353-376
-
-
Mühlenbein, H.1
Mahnig, T.2
-
21
-
-
0002932917
-
Evolutionary algorithms: From recombination to search distributions
-
Kallel L. Naudts B. Rogers A. Berlin: Springer Verlag
-
Mühlenbein H., Mahnig Th. Evolutionary algorithms: From recombination to search distributions. Kallel L., Naudts B., Rogers A. Theoretical Aspects of Evolutionary Computing, Natural Computing. 2000;137-176 Springer Verlag, Berlin.
-
(2000)
Theoretical Aspects of Evolutionary Computing, Natural Computing
, pp. 137-176
-
-
Mühlenbein, H.1
Mahnig, Th.2
-
22
-
-
0011837986
-
Evolutionary computation and beyond
-
Uesaka Y. Kanerva P. Asoh H. Stanford, California: CSLI Publications
-
Mühlenbein H., Mahnig Th. Evolutionary computation and beyond. Uesaka Y., Kanerva P., Asoh H. Foundations of Real-World Intelligence. 2001;123-188 CSLI Publications, Stanford, California.
-
(2001)
Foundations of Real-World Intelligence
, pp. 123-188
-
-
Mühlenbein, H.1
Mahnig, Th.2
-
24
-
-
0345504778
-
Schemata, distributions and graphical models in evolutionary optimization
-
Mühlenbein H., Mahnig Th., Rodriguez Ochoa A. Schemata, distributions and graphical models in evolutionary optimization. Journal of Heuristics. 5(2):1999;215-247.
-
(1999)
Journal of Heuristics
, vol.5
, Issue.2
, pp. 215-247
-
-
Mühlenbein, H.1
Mahnig, Th.2
Rodriguez Ochoa, A.3
-
28
-
-
0001787215
-
Bayesian optimization algorithm, decision graphs, and Occam's razor
-
Spector L. et al. San Francisco: Morgan Kaufmann
-
Pelikan M., Goldberg D.E., Sastry K. Bayesian optimization algorithm, decision graphs, and Occam's razor. Spector L.et al. Proceedings of the Genetic and Evolutionary Computation Conference GECCO-2001. 2001;519-526 Morgan Kaufmann, San Francisco.
-
(2001)
Proceedings of the Genetic and Evolutionary Computation Conference GECCO-2001
, pp. 519-526
-
-
Pelikan, M.1
Goldberg, D.E.2
Sastry, K.3
-
30
-
-
0002375286
-
An analysis of a genetic algorithm for simple random Ising systems
-
Prügel-Bennet A., Shapiro J.L. An analysis of a genetic algorithm for simple random Ising systems. Physica D. 104:1997;75-114.
-
(1997)
Physica D
, vol.104
, pp. 75-114
-
-
Prügel-Bennet, A.1
Shapiro, J.L.2
-
31
-
-
0000120766
-
Estimating the dimension of a model
-
Schwarz G. Estimating the dimension of a model. Annals of Statistics. 6(2):1978;461-464.
-
(1978)
Annals of Statistics
, vol.6
, Issue.2
, pp. 461-464
-
-
Schwarz, G.1
-
33
-
-
84990647240
-
A parallel genetic algorithm for the graph partitioning problem
-
Maenner R. Schwefel H.-P. Parallel Problem Solving from Nature Berlin: Springer-Verlag
-
von Laszewski G., Mühlenbein H. A parallel genetic algorithm for the graph partitioning problem. Maenner R., Schwefel H.-P. Parallel Problem Solving from Nature. Lecture Notes in Computer Science. vol. 496:1991;165-169 Springer-Verlag, Berlin.
-
(1991)
Lecture Notes in Computer Science
, vol.496
, pp. 165-169
-
-
Von Laszewski, G.1
Mühlenbein, H.2
-
34
-
-
0009472868
-
The general and logical theory of automata
-
New York: Simon and Schuster
-
von Neumann J. The general and logical theory of automata. The World of Mathematics. 1954;2070-2101 Simon and Schuster, New York.
-
(1954)
The World of Mathematics
, pp. 2070-2101
-
-
Von Neumann, J.1
|