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Many engineering optimization problems can be solved using meta-heuristics. Despite their merits, such algorithms face common challenges of early convergence rate and the imbalance between the exploitation and exploration phases. These algorithms hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eab48f4d599dab7e737e6b0ed4502e70
https://doi.org/10.21203/rs.3.rs-2148347/v2
https://doi.org/10.21203/rs.3.rs-2148347/v2
