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Publikováno v:
Research, Society and Development; Vol. 12 No. 1; e15912139585
Research, Society and Development; Vol. 12 Núm. 1; e15912139585
Research, Society and Development; v. 12 n. 1; e15912139585
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
Research, Society and Development; Vol. 12 Núm. 1; e15912139585
Research, Society and Development; v. 12 n. 1; e15912139585
Research, Society and Development
Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
This paper presents an application of the Biased Random Key Genetic Algorithm (BRKGA) method to the constrained clustering problem. The solution to this problem returns the separation of a set of data into clusters, such that the members of each clus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::5a49b9811e065cd253730cc487ef0de7
https://rsdjournal.org/index.php/rsd/article/view/39585
https://rsdjournal.org/index.php/rsd/article/view/39585