On the mean convergence time of evolutionary algorithms without selection and mutation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 866 LNCS, Issue , 1994, Pages 88-97

  Asoh, Hideki ^a,b   Mühlenbein, Heinz ^a  

^a FRAUNHOFER INSTITUTE FOR APPLIED INFORMATION TECHNOLOGY FIT   (Germany)

^b ELECTROTECHNICAL LABORATORY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

GENES; MONTE CARLO METHODS;

GENETIC POPULATION; MEAN CONVERGENCES; NUMERICAL CALCULATION; POPULATION GENETICS; RANDOM GENETIC DRIFT; UNIFORM CROSSOVERS;

POPULATION STATISTICS;

EID: 84870753166     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-58484-6_253     Document Type: Conference Paper

References (12)

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11. Mühlenbein, H. and Schlierkamp-Voosen, D. The science of breeding and its application to the breeder genetic algorithm BGA, Evolutionary Comptation 1, 335-360, 1994.
12. Wright, S. Evolution in Mendelian populations, Genetics 16, 97-159, 1931.