Biełaszek, SylwiaByrski, Aleksander2023-09-252023-09-252023Biełaszek 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: 10.34658/9788366741928.78.978-83-66741-92-8http://hdl.handle.net/11652/4854https://doi.org/10.34658/9788366741928.78Metaheuristics, 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.enDla wszystkich w zakresie dozwolonego użytkuFair use conditionparallel evolutionary computingmetaheuristicsmigrationrównoległe obliczenia ewolucyjnemetaheurystykamigracjaOn Parameters of Migration in PEA ComputingRozdział - monografiaLicencja PŁLUT License10.34658/9788366741928.78