Research Article
Enhancing Hyperheuristics for the Knapsack Problem through Fuzzy Logic
Table 1
Results in profit from all methods in the testing set.
| Methods | Metrics | Average | Standard deviation | Best | Worst |
| Default | 191080 | 0 | 191080 | 191080 | MaxP | 234917 | 0 | 234917 | 234917 | MinW | 282972 | 0 | 282972 | 282972 | MaxPW | 330949 | 0 | 330949 | 330949 | Oracle | 377244 | 0 | 377244 | 377244 | HH4 | 337979.36 | 2543.48 (0.75%) | 342036 | 331936 | HH6 | 336062.20 | 3369.03 (1.00%) | 342381 | 326238 | HH8 | 336574.20 | 2918.92 (0.86%) | 341739 | 330495 | Binary GA | 324800.33 | 930.31 (0.28%) | 326982 | 323036 | FuzzyHH | 344353.66 | 759.35 (0.22%) | 345661 | 342531 |
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Results in bold are the best.
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