The Doctor Rostering Problem - Asser Fahrenholz
The Doctor Rostering Problem - Asser Fahrenholz
The Doctor Rostering Problem - Asser Fahrenholz
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List of Figures<br />
4.1 <strong>The</strong> transformation chain from SAT to Timetable Design . . . . . . . . . 16<br />
4.2 Various types of RCL parameters . . . . . . . . . . . . . . . . . . . . . . . 19<br />
4.3 Local and global optima . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20<br />
4.4 <strong>The</strong> rotation principle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21<br />
4.5 <strong>The</strong> inversion principle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21<br />
4.6 <strong>The</strong> implementation of the schedule . . . . . . . . . . . . . . . . . . . . . 27<br />
4.7 Heuristics inheritance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28<br />
5.1 Comparison of heuristic performances for the GAMS problem . . . . . . . 33<br />
6.1 <strong>The</strong> main window . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35<br />
6.2 <strong>The</strong> file menu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36<br />
6.3 Microsoft Excel workbook containing the night and evening shifts . . . . . 36<br />
6.4 <strong>The</strong> main window w. imported shifts . . . . . . . . . . . . . . . . . . . . . 37<br />
6.5 <strong>The</strong> settings menu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37<br />
6.6 <strong>The</strong> weights window . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38<br />
6.7 <strong>The</strong> codes window . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39<br />
6.8 RDO enabled and disabled . . . . . . . . . . . . . . . . . . . . . . . . . . 39<br />
6.9 <strong>The</strong> main window w. generated schedule . . . . . . . . . . . . . . . . . . . 40<br />
7.1 GRASP performance: Test 0 . . . . . . . . . . . . . . . . . . . . . . . . . 49<br />
7.2 SA performance: Test 0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50<br />
7.3 GRASP performance: Test 5 . . . . . . . . . . . . . . . . . . . . . . . . . 50<br />
7.4 GRASP performance: Test 6 . . . . . . . . . . . . . . . . . . . . . . . . . 51<br />
7.5 SA performance: Test 9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51<br />
7.6 SA performance: Test 2 and 5 . . . . . . . . . . . . . . . . . . . . . . . . . 52<br />
C.1 Optimal solution for test 0 . . . . . . . . . . . . . . . . . . . . . . . . . . . 115<br />
C.2 Example of the decreasing temperature . . . . . . . . . . . . . . . . . . . 116<br />
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