Zobrazeno 1 - 3
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pro vyhledávání: '"Sami Nasser Lauar"'
Autor:
Sami Nasser Lauar, Mario Mestria
Publikováno v:
Inteligencia Artificial, Vol 24, Iss 68 (2021)
In this work, we present a metaheuristic based on the genetic and greedy algorithms to solve an application of the set covering problem (SCP), the data aggregator positioning in smart grids. The GGH (Greedy Genetic Hybrid) is structured as a genetic
Externí odkaz:
https://doaj.org/article/4d19d84230d84879860cbeef364e3084
Autor:
Mário Mestria, Sami Nasser Lauar
Publikováno v:
Inteligencia Artificial, Vol 24, Iss 68 (2021)
In this work, we present a metaheuristic based on the genetic and greedy algorithms to solve an application of the set covering problem (SCP), the data aggregator positioning in smart grids. The GGH (Greedy Genetic Hybrid) is structured as a genetic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e60ecc8624ec0c365658583d7d530c3
https://doi.org/10.4114/intartif.vol24iss68pp123-137
https://doi.org/10.4114/intartif.vol24iss68pp123-137
