The Doctor Rostering Problem - Asser Fahrenholz

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Bibliography 119 [23] Kai Toedter. Jcalendar, 2008. URL http://www.toedter.com/en/jcalendar/ index.html. [24] M. Warner, B. Keller, and S. Martel. Automated nurse scheduling. Journal of the Society for Health Systems, 2(2):66–80, 1991. [25] Darrell Whitley and Jean Paul Watson. Search Methodologies - Introductory Tuto- rials in Optimization and Decision Support Techniques, pages 317–339. Springer, 2005. [26] David H. Wolpert and William G. Macready. No free lunch theorems for search. Technical report, Santa Fe Institute, 1995. [27] David H. Wolpert and William G. Macready. No free lunch theorems for optimization. IEEE Transactions on Evolutionary Computation, 1(67), 1997. URL http://ic.arc.nasa.gov/people/dhw/papers/78.pdf.
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TECHNICAL UNIVERSITY OF DENMARK The
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TECHNICAL UNIVERSITY OF DENMARK Abs
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Acknowledgements Foremost, I would
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Contents vi 4.3.1 A construction he
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List of Figures 4.1 The transformat
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List of Algorithms 4.1 Adaptive gre
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Chapter 1. Introduction and problem
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Chapter 2. The Doctor Rostering Pro
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Chapter 2. The Doctor Rostering Pro
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Chapter 3 A mathematical model for
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Chapter 3. The model and design 10
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Chapter 4. Solving the DRP 16 it in
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Chapter 4. Solving the DRP 18 4.3.1
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Chapter 4. Solving the DRP 20 Given
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Chapter 4. Solving the DRP 22 Since
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Chapter 4. Solving the DRP 24 1. Co
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Chapter 4. Solving the DRP 26 decre
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Chapter 4. Solving the DRP 28 This
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Chapter 4. Solving the DRP 30 Simul
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Chapter 5. Optimal solution 32 The
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Chapter 6 The DRP Program Through t
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Chapter 6. The DRP Program 36 Figur
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Chapter 6. The DRP Program 38 of th
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Chapter 6. The DRP Program 40 Figur
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Chapter 7 Metaheuristic tests This
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Chapter 7. Tests, results and discu
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Chapter 8. Future considerations 54
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Chapter 8. Future considerations 56
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Chapter 9. Conclusion 58 The three
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Appendix A. Implementation 60 27 //
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2 Appendix A. Implementation 62 3 i
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Appendix A. Implementation 64 A.3 G
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Appendix A. Implementation 66 97 wh
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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 105 and 106: Appendix C. Tests 94 JST PZH HP SDA
Page 107 and 108: Appendix C. Tests 96 JST PZH HP SDA
Page 111 and 112: Appendix C. Tests 100 Cons 12 Imps
Page 113 and 114: Appendix C. Tests 102 Test 3 RCL 1
Page 127 and 128: Appendix C. Tests 116 160 140 120 1
Page 129: Bibliography 118 [10] Michael R. Ga
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