The Doctor Rostering Problem - Asser Fahrenholz

Recommendations

Info

List of Tables 2.1 Rolling days off, NDO: no day off . . . . . . . . . . . . . . . . . . . . . . . 5 4.1 <strong>The</strong> initial solutions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 7.1 Test instances . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 7.2 Test instance groups . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 7.3 Test instance results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 7.4 RCL effect: Test 0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 7.5 RCL effect: Test 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 7.6 RCL effect: Test 9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 7.7 RCL effect: Test 8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 7.8 RCL Effect: All tests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 7.9 Enumeration effect: All tests . . . . . . . . . . . . . . . . . . . . . . . . . 47 7.10 Enumeration effect: Test 4, RCL 1 . . . . . . . . . . . . . . . . . . . . . . 47 7.11 Enumeration effect: Test 7, RCL 50 . . . . . . . . . . . . . . . . . . . . . 47 7.12 Weights effect: All tests . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 7.13 Weights effect: Test 0, RCL 1 . . . . . . . . . . . . . . . . . . . . . . . . . 48 7.14 Weights effect: Test 4, RCL 1 . . . . . . . . . . . . . . . . . . . . . . . . . 48 7.15 Iterations effect: All tests . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 B.1 Solution found by GAMS . . . . . . . . . . . . . . . . . . . . . . . . . . . 84 B.2 Best greedy, RCL 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85 B.3 Best GRASP, RCL 1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86 ix
List of Algorithms 4.1 Adaptive greedy - require: RCL parameter p, schedule S . . . . . . . . . . 19 4.2 Local Search - require: schedule S . . . . . . . . . . . . . . . . . . . . . . 22 4.3 GRASP - require: RCL parameter p . . . . . . . . . . . . . . . . . . . . . 24 4.4 Simulated Annealing - require: Schedule S, start temperature T . . . . . 26 8.1 Delta function H0 - require: schedule S . . . . . . . . . . . . . . . . . . . 55 x
Page 1 and 2: TECHNICAL UNIVERSITY OF DENMARK The
Page 3 and 4: TECHNICAL UNIVERSITY OF DENMARK Abs
Page 5 and 6: Acknowledgements Foremost, I would
Page 7 and 8: Contents vi 4.3.1 A construction he
Page 9: List of Figures 4.1 The transformat
Page 13 and 14: Chapter 1. Introduction and problem
Page 15 and 16: Chapter 2. The Doctor Rostering Pro
Page 17 and 18: Chapter 2. The Doctor Rostering Pro
Page 19 and 20: Chapter 3 A mathematical model for
Page 21 and 22: Chapter 3. The model and design 10
Page 27 and 28: Chapter 4. Solving the DRP 16 it in
Page 29 and 30: Chapter 4. Solving the DRP 18 4.3.1
Page 31 and 32: Chapter 4. Solving the DRP 20 Given
Page 33 and 34: Chapter 4. Solving the DRP 22 Since
Page 35 and 36: Chapter 4. Solving the DRP 24 1. Co
Page 37 and 38: Chapter 4. Solving the DRP 26 decre
Page 39 and 40: Chapter 4. Solving the DRP 28 This
Page 41 and 42: Chapter 4. Solving the DRP 30 Simul
Page 43 and 44: Chapter 5. Optimal solution 32 The
Page 45 and 46: Chapter 6 The DRP Program Through t
Page 47 and 48: Chapter 6. The DRP Program 36 Figur
Page 49 and 50: Chapter 6. The DRP Program 38 of th
Page 51 and 52: Chapter 6. The DRP Program 40 Figur
Page 53 and 54: Chapter 7 Metaheuristic tests This
Page 55 and 56: Chapter 7. Tests, results and discu
Page 61 and 62:
Chapter 7. Tests, results and discu
Page 63 and 64:
Chapter 7. Tests, results and discu
Page 65 and 66:
Chapter 8. Future considerations 54
Page 67 and 68:
Chapter 8. Future considerations 56
Page 69 and 70:
Chapter 9. Conclusion 58 The three
Page 71 and 72:
Appendix A. Implementation 60 27 //
Page 73 and 74:
2 Appendix A. Implementation 62 3 i
Page 75 and 76:
Appendix A. Implementation 64 A.3 G
Page 77 and 78:
Appendix A. Implementation 66 97 wh
Page 79 and 80:
Appendix A. Implementation 68 27 su
Page 81 and 82:
Appendix A. Implementation 70 119 P
Page 83 and 84:
Appendix A. Implementation 72 64 br
Page 85 and 86:
Appendix A. Implementation 74 28 Ch
Page 87 and 88:
Appendix B GAMS Model This chapter
Page 89 and 90:
Appendix B. GAMS Model 78 46 c(day
Page 91 and 92:
Appendix B. GAMS Model 80 109 B1( f
Page 93 and 94:
Appendix B. GAMS Model 82 **** REPO
Page 95 and 96:
Appendix B. GAMS Model 84 B.3 The s
Page 97 and 98:
Appendix B. GAMS Model 86 B.3.3 The
Page 99 and 100:
Appendix C. Tests 88 C.1.1 Instance
Page 101 and 102:
Page 103 and 104:
Page 105 and 106:
Appendix C. Tests 94 JST PZH HP SDA
Page 107 and 108:
Appendix C. Tests 96 JST PZH HP SDA
Page 109 and 110:
Page 111 and 112:
Appendix C. Tests 100 Cons 12 Imps
Page 113 and 114:
Appendix C. Tests 102 Test 3 RCL 1
Page 115 and 116:
Page 117 and 118:
Page 119 and 120:
Page 121 and 122:
Page 123 and 124:
Page 125 and 126:
Page 127 and 128:
Appendix C. Tests 116 160 140 120 1
Page 129 and 130:
Bibliography 118 [10] Michael R. Ga
show all

The Doctor Rostering Problem - Asser Fahrenholz

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?