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- W2730118085 abstract "Facility layout problems (FLPs) are quite common and important in many industries. This paper presents a mixed integer linear programming (MILP) model for the dynamic facility layout problem, which is a generalization of several special cases of FLPs studied in recent years. A new evolutionary meta-heuristic framework, named as the problem evolution algorithm (PEA), is developed as a general solution approach for FLPs. Computational experiments show that the PEA combined with the linear programming (LP), called PEA-LP in short, performs well in various types of FLPs. In addition, a new polyhedral inner-approximation method is proposed based on secant lines for the linearization of the non-linear constraint for department area requirements. This new method guarantees that the actual department area is always greater than or equal to the required area within a given maximum deviation error. Furthermore, two new symmetry-breaking constraints which help to improve the computational efficiency of the MILP model are also introduced. Computational experiments on several well-known problem instances from the literature are carried out to test the DFLP-FZ and the PEA-LP with promising results." @default.
- W2730118085 created "2017-07-14" @default.
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- W2730118085 date "2017-12-01" @default.
- W2730118085 modified "2023-10-16" @default.
- W2730118085 title "A problem evolution algorithm with linear programming for the dynamic facility layout problem—A general layout formulation" @default.
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- W2730118085 doi "https://doi.org/10.1016/j.cor.2017.06.025" @default.
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