Research Article
Adaptive Randomness: A New Population Initialization Method
| | Hypothesis | Unadjusted | | |
| 1 | DEo versus DEar | 2.6442139326214958 − 6 | 1.5865283595728974 − 5 | 1.5865283595728974 − 5 | 2 | DEgo versus DEar | 6.519075482494892 − 6 | 3.9114452894969356 − 5 | 3.2595377412474464 − 5 | 3 | DEr versus DEar | 1.5536056185614817 − 5 | 9.32163371136889 − 5 | 6.214422474245927 − 5 | 4 | DEr versus DEo | 0.7071142312899601 | 4.24268538773976 | 2.12134269386988 | 5 | DEo versus DEgo | 0.8509806870320539 | 5.1058841221923235 | 2.12134269386988 | 6 | DEr versus DEgo | 0.8509806870320561 | 5.105884122192337 | 2.12134269386988 |
| | Hypothesis | | | |
| 1 | DEo versus DEar | 1.5865283595728974 − 5 | 1.5865283595728974 − 5 | | 2 | DEgo versus DEar | 1.9557226447484678 − 5 | 1.9557226447484678 − 5 | | 3 | DEr versus DEar | 4.660816855684445 − 5 | 3.1072112371229634 − 5 | | 4 | DEr versus DEo | 2.12134269386988 | 2.12134269386988 | | 5 | DEo versus DEgo | 2.12134269386988 | 2.12134269386988 | | 6 | DEr versus DEgo | 2.12134269386988 | 2.12134269386988 | |
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