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Mammography Unit Location: Reconciling Maximum Coverage and Budgetary Constraints.

, , and . ICEIS (1), page 187-194. SCITEPRESS, (2023)

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HGVPRLB: A hybrid algorithm for solving binary problems., , and . CLEI, page 1-9. IEEE, (2015)Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations., , and . Comput. Oper. Res., (2014)A Matheuristic Algorithm for the Multiple-Depot Vehicle and Crew Scheduling Problem., , and . IEEE Access, (2021)GARP: A New Genetic Algorithm for the Unrelated Parallel Machine Scheduling Problem with Setup Times., , , , , and . SCCC, page 152-160. IEEE Computer Society, (2012)AIRP: A heuristic algorithm for solving the unrelated parallel machine scheduling problem., , , and . IEEE Congress on Evolutionary Computation, page 1855-1862. IEEE, (2014)An Hybrid NSGA-II Algorithm for the Bi-objective Mobile Mammography Unit Routing Problem., , and . ICAISC (1), volume 14125 of Lecture Notes in Computer Science, page 339-351. Springer, (2023)A Multi-agent Metaheuristic Optimization Framework with Cooperation., , , and . BRACIS, page 104-109. IEEE Computer Society, (2015)Memetic self-adaptive evolution strategies applied to the maximum diversity problem., , , and . Optim. Lett., 8 (2): 705-714 (2014)An Adaptive Genetic Algorithm for solving the Single Machine Scheduling Problem with Earliness., , and . SMC, page 698-703. IEEE, (2009)A reinforcement learning-based multi-agent framework applied for solving routing and scheduling problems., , , and . Expert Syst. Appl., (2019)