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Raport Badawczy = Research Report ; RB/89/2003
Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
[411]- 433 stron ; 21 cm ; Bibliografia s. 432-433
In this paper two methods for evolutionary algorithm control are proposed. The first one is a new method of tuning the probabilities of genetic operators. It is assumed in the presented approach that every member of the optimized population conducts his own ranking of genetic operators' qualities. This ranking enables computing the probabilities of execution of genetic operators. This set of probabilities is a basis of experience of every individual and according to this basis the individual chooses the operator in every iteration of the algorithm. Due to this experience one can maximize the chances of his offspring to survive. The second part of the paper deals with a self-adapting method of selection of individuals to a subsequent generation. Methods of selection applied in the evolutionary algorithms are usually inspired by nature and prefer solutions where the main role is played by randomness, competition and struggle among individuals. In the case of evolutionary algorithms, where populations of individuals are usually small, this causes a premature convergence to local minima.
Raport Badawczy = Research Report
Licencja Creative Commons Uznanie autorstwa 4.0
Zasób chroniony prawem autorskim. [CC BY 4.0 Międzynarodowe] Korzystanie dozwolone zgodnie z licencją Creative Commons Uznanie autorstwa 4.0, której pełne postanowienia dostępne są pod adresem: ; -
Instytut Badań Systemowych Polskiej Akademii Nauk
Biblioteka Instytutu Badań Systemowych PAN
19 paź 2021
19 paź 2021
39
https://rcin.org.pl./publication/255020
Nazwa wydania | Data |
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RB-2003-89 : Stańczak Jarosław : Biologically inspired methods for control of evolutionary algorithms | 19 paź 2021 |
Stańczak, Jarosław
Stańczak, Jarosław
Stańczak, Jarosław
Stańczak, Jarosław
Stańczak, Jarosław
Stańczak, Jarosław
Stańczak, Jarosław