Research Article
Solving the Manufacturing Cell Design Problem through Binary Cat Swarm Optimization with Dynamic Mixture Ratios
Table 10
New instances from other authors.
| Problem | Author | Machines | Parts | Cells | Mmax |
| CFP01 | King and Nakornchai [49] | 5 | 7 | 2 | 3 | CFP02 | Waghodekar and Sahu [50] | 5 | 7 | 2 | 4 | CFP03 | Seifoddini [51] | 5 | 18 | 2 | 3 | CFP04 | Kusiak and Cho [52] | 6 | 8 | 2 | 3 | CFP05 | Kusiak and Chow [53] | 7 | 11 | 5 | 2 | CFP06 | Boctor [48] | 7 | 11 | 4 | 2 | CFP07 | Seifoddini and Wolfe [54] | 8 | 11 | 4 | 3 | CFP08 | Chandrasekharan and Rajagopalan [55] | 8 | 20 | 3 | 4 | CFP09 | Chandrasekharan and Rajagopalan [56] | 8 | 20 | 2 | 5 | CFP10 | Mosier and Taube [57] | 10 | 10 | 5 | 4 | CFP11 | Chan and Milner [58] | 10 | 15 | 3 | 4 | CFP12 | Askin and Subramanian [59] | 14 | 24 | 7 | 3 | CFP13 | Stanfel [60] | 14 | 24 | 7 | 3 | CFP14 | McCormick et al. [61] | 16 | 24 | 8 | 5 | CFP15 | Srinivasan et al. [62] | 16 | 30 | 6 | 6 | CFP16 | King [63] | 16 | 43 | 8 | 4 | CFP17 | Carrie [64] | 18 | 24 | 9 | 4 | CFP18 | Mosier and Taube [65] | 20 | 20 | 6 | 7 | CFP19 | Kumar et al. [66] | 23 | 20 | 7 | 6 | CFP20 | Carrie [64] | 20 | 35 | 5 | 5 | CFP21 | Boe and Cheng [67] | 20 | 35 | 5 | 5 | CFP22 | Chandrasekharan and Rajagopalan [68] | 24 | 40 | 12 | 5 | CFP23 | Chandrasekharan and Rajagopalan [68] | 24 | 40 | 7 | 5 | CFP24 | Chandrasekharan and Rajagopalan [68] | 24 | 40 | 7 | 5 | CFP25 | Chandrasekharan and Rajagopalan [68] | 24 | 40 | 11 | 5 | CFP26 | Chandrasekharan and Rajagopalan [68] | 24 | 40 | 12 | 3 | CFP27 | Chandrasekharan and Rajagopalan [68] | 24 | 40 | 12 | 3 | CFP28 | McCormick et al. [61] | 27 | 27 | 6 | 11 | CFP29 | Carrie [64] | 28 | 46 | 10 | 4 | CFP30 | Kumar and Vannelli [69] | 30 | 41 | 14 | 4 | CFP31 | Stanfel [60] | 30 | 50 | 13 | 3 | CFP32 | Stanfel [60] | 30 | 50 | 14 | 4 | CFP33 | King-Nakornchai [49] | 36 | 90 | 17 | 6 | CFP34 | McCormick et al. [61] | 37 | 53 | 3 | 15 | CFP35 | Chandrasekharan and Rajagopalan [70] | 40 | 100 | 10 | 6 |
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