Research Article
Dichotomous Binary Differential Evolution for Knapsack Problems
Table 4
The detailed information of the 0-1 knapsack instances.
| Number | Problem | Type | ā |
| 1 | kp_uc_100 | Uncorrelated | 100 | 2 | kp_uc_200 | Uncorrelated | 200 | 3 | kp_uc_300 | Uncorrelated | 300 | 4 | kp_uc_500 | Uncorrelated | 500 | 5 | kp_uc_1000 | Uncorrelated | 1000 | 6 | kp_wc_100 | Weakly correlated | 100 | 7 | kp_wc_200 | Weakly correlated | 200 | 8 | kp_wc_300 | Weakly correlated | 300 | 9 | kp_wc_500 | Weakly correlated | 500 | 10 | kp_wc_1000 | Weakly correlated | 1000 | 11 | kp_sc_100 | Strongly correlated | 100 | 12 | kp_sc_200 | Strongly correlated | 200 | 13 | kp_sc_300 | Strongly correlated | 300 | 14 | kp_sc_500 | Strongly correlated | 500 | 15 | kp_sc_1000 | Strongly correlated | 1000 | 16 | kp_ss_100 | Subset sum | 100 | 17 | kp_ss_200 | Subset sum | 200 | 18 | kp_ss_300 | Subset sum | 300 | 19 | kp_ss_500 | Subset sum | 500 | 20 | kp_ss_1000 | Subset sum | 1000 |
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