An EM-style self-training loop lets an autoregressive graph network solve fuzzy job shop scheduling instances, beating four metaheuristics on fuzzy makespan with far shorter runtime.
Multiobjec- tive optimization of energy-efficient job-shop scheduling with dynamic reference point-based fuzzy relative entropy,
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An Expectation-Maximization Algorithm-based Autoregressive Model for the Fuzzy Job Shop Scheduling Problem
An EM-style self-training loop lets an autoregressive graph network solve fuzzy job shop scheduling instances, beating four metaheuristics on fuzzy makespan with far shorter runtime.