DocumentCode
554097
Title
Notice of Retraction
Design and analysis of asymptotic probabilistic genetic algorithm
Author
Galushin, P.V. ; Semenkina, O.E.
Author_Institution
Siberian State Aerosp. Univ., Krasnoyarsk, Russia
Volume
2
fYear
2011
fDate
26-28 July 2011
Firstpage
1082
Lastpage
1086
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper proposes the modification of probabilistic genetic algorithm, which uses genetic operators, effecting not on particular solutions, but on the probabilities distribution of solution vector´s components. This paper also compares reliability and efficiency of basic algorithm and proposed modification using the set of benchmark functions.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper proposes the modification of probabilistic genetic algorithm, which uses genetic operators, effecting not on particular solutions, but on the probabilities distribution of solution vector´s components. This paper also compares reliability and efficiency of basic algorithm and proposed modification using the set of benchmark functions.
Keywords
genetic algorithms; probability; asymptotic probabilistic genetic algorithm; genetic operator; probability distribution; vector component; Benchmark testing; Bismuth; Genetic algorithms; Genetics; Optimization; Probability; Reliability; genetic algorithm; mutation; probability distribution; selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022278
Filename
6022278
Link To Document