DOI: 10.1007/3-540-61723-x_982. From recombination of genes to the estimation of distributions I. Binary parameters

From recombination of genes to the estimation of distributions I. Binary parameters

10.1007/3-540-61723-x_982

Crossref book-chapter

Springer Berlin Heidelberg

Lecture Notes in Computer Science (297)

Bibliography

MÃ¼hlenbein, H., & PaaÃ, G. (1996). From recombination of genes to the estimation of distributions I. Binary parameters. Parallel Problem Solving from Nature â PPSN IV, 178â187.

Authors 2

H. Mühlenbein (first)
G. Paaß (additional)

References 18 Referenced 521

H. Asoh and H. Mühlenbein. Estimating the heritability by decomposing the genetic variance. In Y. Davidor, H.-P. Schwefel, and R. Männer, editors, Parallel Problem Solving from Nature, Lecture Notes in Computer Science 866, pages 98–107. Springer-Verlag, 1994. (10.1007/3-540-58484-6_254)
S. Baluja and R. Caruana. Removing the genetics from the standard genetic algorithm. In Proc. of the 12th Intern. Conf. on Machine Learning, Lake Tahoe, 1995. (10.1016/B978-1-55860-377-6.50014-1)
J. Besag. Spatial interaction and the statistical analysis of lattice systems. J. Royal Statistical Society, Series B, pages 192–236, 1974. (10.1111/j.2517-6161.1974.tb00999.x)
L. Breiman, J.H. Friedman, R. Olshen, and C.J. Stone. Classification and Regression Trees. Wadsworth International Group, Belmont, California, 1984. / Classification and Regression Trees by L. Breiman (1984)
W. Buntine. Learning classification trees. Statistics and Computing, 2:63–73, 1992. (10.1007/BF01889584) / Statistics and Computing by W. Buntine (1992)
J. F. Crow and M. Kimura. An Introduction to Population Genetics Theory. Harper and Row, New York, 1970. / An Introduction to Population Genetics Theory by J. F. Crow (1970)
D. S. Falconer. Introduction to Quantitative Genetics. Longman, London, 1981. / Introduction to Quantitative Genetics by D. S. Falconer (1981)
R. A. Fisher. The Genetical Theory of Natural Selection. Dover, New York, 1958. / The Genetical Theory of Natural Selection by R. A. Fisher (1958)
D.E. Goldberg. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading, 1989. / Genetic Algorithms in Search, Optimization and Machine Learning by D.E. Goldberg (1989)
D.E. Goldberg, K. Deb, H. Kargupta, and G. Harik. Rapid, accurate optimization of difficult problems using fast messy genetic algorithms. In S. Forrest, editor, Proc. of the Fith Int. Conf. on Genetic Algorithms, pages 56–64, San Mateo, 1993. Morgan-Kaufman. / Rapid, accurate optimization of difficult problems using fast messy genetic algorithms by D.E. Goldberg (1993)
V. Kvasnicka, M. Pelikan, and J. Pospichal. Hill-climbing with learning: An abstraction of genetic algorithm. Technical report, Slovak Technical University, Bratislava, 1995. / Technical report by V. Kvasnicka (1995)
H. Mühlenbein and D. Schlierkamp-Voosen. The science of breeding and its application to the breeder genetic algorithm. Evolutionary Computation, 1:335–360, 1994. (10.1162/evco.1993.1.4.335) / Evolutionary Computation by H. Mühlenbein (1994)
H. Mühlenbein and H.-M. Voigt. Gene pool recombination in genetic algorithms. In J.P. Kelly and I.H Osman, editors, Metaheuristics: Theory and Applications, Norwell, 1996. Kluwer Academic Publisher. / Metaheuristics: Theory and Applications by H. Mühlenbein (1996)
K.V.S. Murthy. On Growing Better Decision Trees from Data. PhD thesis, The John Hopkins University, Baltimore, Maryland, 1995. / PhD thesis by K.V.S. Murthy (1995)
T. Naglyaki. Introduction to Theoretical Population Genetics. Springer, Berlin, 1992. (10.1007/978-3-642-76214-7) / Introduction to Theoretical Population Genetics by T. Naglyaki (1992)
R.B. Robbins. Some applications of mathematics to breeding problems iii. Genetics, 3:375–389, 1918. (10.1093/genetics/3.4.375) / Genetics by R.B. Robbins (1918)
J.N. Sonquist and J.N. Morgan. The Detection of Interaction Effects, volume Monograph 35. Survey Research Center, Institute for Social Research, University of Michigan, 1964.
G. Syswerda. Uniform crossover in genetic algorithms. In H. Schaffer, editor, 3rd Int. Conf. on Genetic Algorithms, pages 2–9, San Mateo, 1989. Morgan Kaufmann. / Uniform crossover in genetic algorithms by G. Syswerda (1989)

Dates

Type	When
Created	19 years, 1 month ago (July 12, 2006, 10:34 a.m.)
Deposited	4 years, 1 month ago (July 29, 2021, 11:33 a.m.)
Indexed	1 week, 2 days ago (Aug. 29, 2025, 6:34 a.m.)
Issued	29 years, 8 months ago (Jan. 1, 1996)
Published	29 years, 8 months ago (Jan. 1, 1996)
Published Online	20 years, 1 month ago (July 11, 2005)
Published Print	29 years, 8 months ago (Jan. 1, 1996)

Funders 0

None

BibTeX

@inbook{M_hlenbein_1996, title={From recombination of genes to the estimation of distributions I. Binary parameters}, ISBN={9783540706687}, ISSN={1611-3349}, url={http://dx.doi.org/10.1007/3-540-61723-x_982}, DOI={10.1007/3-540-61723-x_982}, booktitle={Parallel Problem Solving from Nature — PPSN IV}, publisher={Springer Berlin Heidelberg}, author={Mühlenbein, H. and Paaß, G.}, year={1996}, pages={178–187} }

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