On Parameters of Migration in PEA Computing
Ładowanie...
Data
2023
Autorzy
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
Metaheuristics, such as evolutionary algorithms have been proven to be
(also theoretically, see works of Vose [1]) universal optimization methods.
Skolicki and DeJong [2] researched impact of migration intervals on island
models. In this article, we explore different migration intervals and amounts
of migrating indyviduals, complementing Skolicki and DeJong’s research.
In our experiments we use different ways of selecting migrants and pave the
way for further research, e.g. involving different topologies and neighborhoods.
Besides sketching out the background and presenting the idea of the
algorithm we show the experimental results and discuss them in detail.
Opis
Słowa kluczowe
parallel evolutionary computing, metaheuristics, migration, równoległe obliczenia ewolucyjne, metaheurystyka, migracja
Cytowanie
Biełaszek S., Byrski A., On Parameters of Migration in PEA Computing. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 491-493, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.78.