From Recombination of Genes to the Estimation of Distributions II. Continuous Parameters
作者： H. Mühlenbein , J. Bendisch , H. -M. Voigt
DOI: 10.1007/3-540-61723-X_983
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摘要: Abstract The Breeder Genetic Algorithm (BGA) is based on the equation for the response to selection. In order to use this equation for prediction, the variance of the fitness of the population has to be estimated. For the usual sexual recombination this can be difficult. In this paper the new points (offspring) are generated from distributions, a uniform distribution and a distribution generated by univariate marginal distributions. For a class of unimodal fitness functions the performance of the BGA is analytically computed. The results are …
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springerlink.com参考文章(6)
Joachim Stender, Genetic algorithms in optimisation, simulation and modelling IOS Press. ,(1994)
Thomas Nagylaki, Introduction to Theoretical Population Genetics ,(1991)
Heinz Mühlenbein, Dirk Schlierkamp-Voosen, Predictive models for the breeder genetic algorithm i. continuous parameter optimization Evolutionary Computation. ,vol. 1, pp. 25- 49 ,(1993) , 10.1162/EVCO.1993.1.1.25
Heinz Mühlenbein, Dirk Schlierkamp-Voosen, The science of breeding and its application to the breeder genetic algorithm (bga) Evolutionary Computation. ,vol. 1, pp. 335- 360 ,(1993) , 10.1162/EVCO.1993.1.4.335
Hans-Georg Beyer, Toward a theory of evolution strategies: Some asymptotical results from the (1,+ λ)-theory Evolutionary Computation. ,vol. 1, pp. 165- 188 ,(1993) , 10.1162/EVCO.1993.1.2.165
H. Voigt, H. Muhlenbein, Gene pool recombination and utilization of covariances for the Breeder Genetic Algorithm ieee international conference on evolutionary computation. ,vol. 1, pp. 172- ,(1995) , 10.1109/ICEC.1995.489139