Geodesic
Hitting Times of Local and Global Optima in Genetic Algorithms With Very High Selection Pressure
Yugoslav journal of operations research, Tome 27 (2017) no. 3, p. 323 Cet article a éte moissonné depuis la source eLibrary of Mathematical Institute of the Serbian Academy of Sciences and Arts

Voir la notice de l'article

The paper is devoted to upper bounds on the expected first hitting times of the sets of local or global optima for non-elitist genetic algorithms with very high selection pressure. The results of this paper extend the range of situations where the upper bounds on the expected runtime are known for genetic algorithms and apply, in particular, to the Canonical Genetic Algorithm. The obtained bounds do not require the probability of fitness-decreasing mutation to be bounded by a constant which is less than one.
Classification : 90C59, 90C10
Keywords: Combinatorial Optimization, Evolutionary Algorithms, Runtime Analysis, Fitness Level, Local Search 
@article{YJOR_2017_27_3_a3,
     author = {Anton V. Eremeev},
     title = {Hitting {Times} of {Local} and {Global} {Optima} in {Genetic} {Algorithms} {With} {Very} {High} {Selection} {Pressure}},
     journal = {Yugoslav journal of operations research},
     pages = {323 },
     year = {2017},
     volume = {27},
     number = {3},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/YJOR_2017_27_3_a3/}
}
TY  - JOUR
AU  - Anton V. Eremeev
TI  - Hitting Times of Local and Global Optima in Genetic Algorithms With Very High Selection Pressure
JO  - Yugoslav journal of operations research
PY  - 2017
SP  - 323 
VL  - 27
IS  - 3
UR  - http://geodesic.mathdoc.fr/item/YJOR_2017_27_3_a3/
LA  - en
ID  - YJOR_2017_27_3_a3
ER  - 
%0 Journal Article
%A Anton V. Eremeev
%T Hitting Times of Local and Global Optima in Genetic Algorithms With Very High Selection Pressure
%J Yugoslav journal of operations research
%D 2017
%P 323 
%V 27
%N 3
%U http://geodesic.mathdoc.fr/item/YJOR_2017_27_3_a3/
%G en
%F YJOR_2017_27_3_a3
Anton V. Eremeev. Hitting Times of Local and Global Optima in Genetic Algorithms With Very High Selection Pressure. Yugoslav journal of operations research, Tome 27 (2017) no. 3, p. 323 . http://geodesic.mathdoc.fr/item/YJOR_2017_27_3_a3/