Studies on intelligent optimisation techniques for planning, scheduling, and timetabling 計画、スケジュールおよびタイムテーブル生成のための知的最適化手法に関する研究

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著者

    • Safaai bin Deris サファイ ビン デリス

書誌事項

タイトル

Studies on intelligent optimisation techniques for planning, scheduling, and timetabling

タイトル別名

計画、スケジュールおよびタイムテーブル生成のための知的最適化手法に関する研究

著者名

Safaai bin Deris

著者別名

サファイ ビン デリス

学位授与大学

大阪府立大学

取得学位

博士 (工学)

学位授与番号

乙第923号

学位授与年月日

1998-01-31

注記・抄録

博士論文

目次

  1. Abstract / p3 (0004.jp2)
  2. Contents / p4 (0005.jp2)
  3. List of figures / p7 (0006.jp2)
  4. List of tables / p9 (0007.jp2)
  5. List of abbreviations / p10 (0008.jp2)
  6. Acknowledgements / p11 (0008.jp2)
  7. 1.Introduction / p1 (0009.jp2)
  8. 1.1 Optimisation problems / p1 (0009.jp2)
  9. 1.2 Planning, scheduling, and timetabling / p3 (0010.jp2)
  10. 1.3 Constraint-based reasoning / p4 (0011.jp2)
  11. 1.4 Genetic algorithms / p5 (0011.jp2)
  12. 1.5 Motivation and scope of the research / p7 (0012.jp2)
  13. 1.6 Objective of the research / p8 (0013.jp2)
  14. 1.7 Organisation of the thesis / p8 (0013.jp2)
  15. 2.Machine Scheduling Optimisation by Mathematical Programming / p10 (0014.jp2)
  16. 2.1 Introduction / p10 (0014.jp2)
  17. 2.2 Model for selection of a scheduling policy / p11 (0014.jp2)
  18. 2.3 Machine requirement planning / p16 (0017.jp2)
  19. 2.4 Model for machine transfer and allocation / p17 (0017.jp2)
  20. 2.5 An example of machine requirement planning and management / p19 (0018.jp2)
  21. 2.6 Conclusions / p26 (0022.jp2)
  22. 3 An Object-Oriented Design of a Constraint-Based Reasoning System for Timetabling and Scheduling / p27 (0022.jp2)
  23. 3.1 Introduction / p27 (0022.jp2)
  24. 3.2 Object-oriented analysis and design of the CBR system for the TTP / p27 (0022.jp2)
  25. 3.3 Advantages of the OCLP for timetable planning / p34 (0026.jp2)
  26. 3.4 An example of an application of the OCLP in a college planning timetabling / p39 (0028.jp2)
  27. 3.5 Conclusions / p40 (0029.jp2)
  28. 4 Timetable Planning by Knowledge-Based System and Constraint-Based Reasoning Approaches / p42 (0030.jp2)
  29. 4.1 Introduction / p42 (0030.jp2)
  30. 4.2 College timetable planning by the KBS approach / p43 (0030.jp2)
  31. 4.3 University timetable planning by CBR approach / p60 (0039.jp2)
  32. 4.4 Conclusions / p76 (0047.jp2)
  33. 5.University Timetabling Optimisation by a Hybrid of Genetic Algorithm and Constraint-Based Reasoning Approaches / p78 (0048.jp2)
  34. 5.1 Introduction / p78 (0048.jp2)
  35. 5.2 TTP by GA / p78 (0048.jp2)
  36. 5.3 Timetable planning constraints / p79 (0048.jp2)
  37. 5.4 A hybrid GA approach / p80 (0049.jp2)
  38. 5.5 Chromosome representation / p83 (0050.jp2)
  39. 5.6 Crossover and mutation operators / p85 (0051.jp2)
  40. 5.7 Constraint processing algorithms / p86 (0052.jp2)
  41. 5.8 Fitness function / p86 (0052.jp2)
  42. 5.9 Computational results / p89 (0053.jp2)
  43. 5.10 Conclusions / p92 (0055.jp2)
  44. 6 Ship Maintenance Scheduling Optimisation by a Hybrid of Genetic Algorithm and Constraint-Based Reasoning Approaches / p93 (0055.jp2)
  45. 6.1 Introduction / p93 (0055.jp2)
  46. 6.2 Ship maintenance scheduling / p93 (0055.jp2)
  47. 6.3 Problem description and model formulation / p95 (0056.jp2)
  48. 6.4 Solution by CBR approach / p98 (0058.jp2)
  49. 6.5 Determination of start times of the first maintenance activities by GA / p105 (0061.jp2)
  50. 6.6 Computational results / p106 (0062.jp2)
  51. 6.7 Conclusions / p109 (0063.jp2)
  52. 7 Conclusions / p115 (0066.jp2)
  53. Appendix / p117 (0067.jp2)
  54. References / p119 (0068.jp2)
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各種コード

  • NII論文ID(NAID)
    500000154357
  • NII著者ID(NRID)
    • 8000000154628
  • DOI(NDL)
  • NDL書誌ID
    • 000000318671
  • データ提供元
    • NDL-OPAC
    • NDLデジタルコレクション
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