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Abstract: This study proposes an investigation into the justification of a method for searching an aircraft that has crashed using uniformly optimal search strategies. The article provides an analysis ...
Abstract: This work addresses bi-objective hybrid flow shop scheduling problems considering consistent sublots (Bi-HFSP_CS). The objectives are to minimize the makespan and total energy consumption.
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...