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This paper addresses the distributed concrete precast flow shop scheduling problem, aiming to minimize total weighted earliness and tardiness through effective job scheduling. A mixed integer nonlinear programming (MINLP) model is developed and transformed into a mixed integer linear programming (MILP) model, alongside several metaheuristic algorithms including a hybrid iterated greedy algorithm and hybrid tabu search. Extensive experiments demonstrate the effectiveness of the proposed algorithms, with the

Author
ZJ X
Language
EN

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