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.
Knowledge-based lot-splitting optimization method for flexible job shops considering energy consumption,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
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.