Machine learning and data analysis method for predicting an efficient algorithm for heterogeneous multicore scheduling

Computers & Operations Research 2026

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Authors: Imad Assayakh, Imed Kacem, Giorgio Lucarelli

DOI: 10.1016/j.cor.2026.107478

Cited by: 1

References: 34

Fields of Study & Subjects

Scheduling and Optimization Algorithms Distributed and Parallel Computing Systems Resource-Constrained Project Scheduling

References 34