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- W1997293102 abstract "Cell formation problem attempts to group machines and part families in dedicated manufacturing cells such that the number of voids and exceptional elements in cells are minimized. In this paper, we presented a linear fractional programming model with the objective of maximizing the grouping efficacy while the number of cells is unknown. To show the effectiveness of the proposed model, two test problems were applied. Then, to solve the model for real-sized applications, a hybrid meta-heuristic algorithm in which genetic algorithm and variable neighborhood search are combined. Using the grouping efficacy measure, we have also compared the performance of the proposed algorithm on a set of 35 test problems from the literature. The results show that the proposed GA-VNS method outperforms the state-of-the-art algorithms." @default.
- W1997293102 created "2016-06-24" @default.
- W1997293102 creator A5042919630 @default.
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- W1997293102 date "2013-04-01" @default.
- W1997293102 modified "2023-09-27" @default.
- W1997293102 title "A hybrid genetic-variable neighborhood search algorithm for the cell formation problem based on grouping efficacy" @default.
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- W1997293102 doi "https://doi.org/10.1016/j.cor.2012.10.016" @default.
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