a multi-objective bisexual reproduction genetic algorithm for ...

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89 A.3 Lecturer TABLE A-3 Lecturer Table: Lecturer Field Type Key Description LecturerID char(5) Primary ID of lecturer LecturerName char(40) Name of lecturer Gender char(1) Gender of lecturer DeptID char(3) Foreign ID of department Lecturers are responsible <strong>for</strong> teaching several courses. Each lecturer is member of a department. A.4 Busy Time TABLE A-4 Busy Time Table: BusyTime Field Type Key Description LecturerID char(5) Primary ID of lecturer Day int(2) Date in a week Workingsession int(2) Working session in a day State int(1) State of lecturer Not all working sessions of a day in each week are available to be scheduled <strong>for</strong> a lecturer. For instance, Mr. Tim cannot teach on every Monday morning because of weekly meeting. Some other lecturers dislike teaching in some working sessions. For instance, Miss Mary dislikes teaching on Friday mornings. Based on data stored in the BusyTime table, the system tries to satisfy lecturers’ desires. A state has one of the following three states: 0, 1, or 2. The value of 2 presents a available working session. The value of 1 is used if the lecturer dislikes teaching at this time (soft constraint). Finally, the value of 0 is used if the lecturer cannot teach at this time (hard constraint).
90 A.5 Building TABLE A-5 Building Table: Building Field Type Key Description BuildingID char(2) Primary ID of building BuildingName char(100) Name of building The university has several buildings that have a number of classrooms. A.6 Classroom TABLE A-6 Classroom Table: Classoom Field Type Key Description ClassroomID char(7) Primary ID of classroom ClassroomName char(10) Name of classroom Seats int(3) Number of seats BuildingID char(2) Foreign ID of building ClasssroomGroupID char(8) Foreign ID of classroom group A classroom in a building belongs to a certain classroom group. A.7 Classroom Group TABLE A-7 Classroom group Table: ClassroomGroup Field Type Key Description ClassroomGroupID char(8) Primary ID of classroom group ClassroomGroupName char(100) Name of classroom group
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COURSE SCHEDULING IN MULTIPLE FACUL
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ชื่อ : นายฮูเ
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TABLE OF CONTENTS Page Abstract (in
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LIST OF TABLES Table Page 2-1 Cours
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LIST OF FIGURES (CONTINUED) Figure
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2 The classrooms are sometime share
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4 Classroom i Time-slot Hour Mon Tu
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CHAPTER 2 LITERATURE REVIEW In this
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9 teach effectively. However, in so
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11 The set of vertexes are consider
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13 Gueret et al. have implemented a
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15 When the atoms are at a high tem
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17 The outline of the basic genetic
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19 As shown in Figure 2-6, first of
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21 2.3.2.1 Crossover After we have
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23 these chromosomes. According to
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25 2.4.1 Application Considerations
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27 Southern California, the Argonne
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29 2.4.3.2 Application Programming
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31 2.5 Summary The course schedulin
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34 3.1.5 Phase 5: Measurement a) To
Page 43 and 44: 36 All the above problems can be pr
Page 45 and 46: 38 Client at a faculty Client at th
Page 47 and 48: 40 The Grid system is only used by
Page 49 and 50: 42 3.6 The Proposed Genetic Algorit
Page 51 and 52: 44 Chromosome x i Fitness = f(x i )
Page 53 and 54: 46 A population is a list of n chro
Page 55 and 56: 48 Lecturers register their busy ti
Page 57 and 58: 50 A course is booked to the time-l
Page 59 and 60: 52 As mentioned in the previous sec
Page 61 and 62: 54 GIIS from the client machine m1.
Page 63 and 64: 56 The complete source code for man
Page 65 and 66: 58 3.8.2.2 Stage 2 After the centra
Page 67 and 68: 60 3.8.3.3 The Gatekeeper The gatek
Page 69 and 70: 62 TABLE 4-1 (CONTINUED) Class Seme
Page 71 and 72: 64 26 lecturers are assigned to tea
Page 73 and 74: 66 TABLE 4-2 (CONTINUED) Course Sec
Page 75 and 76: 68 This result shows that the GA ra
Page 77 and 78: 70 should revise the chromosome rep
Page 79 and 80: 72 - Population size : 10 - Crossov
Page 81 and 82: 74 for network communication is muc
Page 83 and 84: 76 TABLE 4-5 Timetable created by t
Page 85 and 86: CHAPTER 5 CONCLUSION 5.1 Conclusion
Page 87 and 88: REFERENCES 1. Alkan, A. and Ozcan,
Page 89 and 90: 83 20. Burke, E. K. and Newall, J.
Page 91 and 92: 85 38. Globus Toolkit [Online]. Ava
Page 93: 88 This section presents the struct
Page 97 and 98: 92 A.10 Program TABLE A-10 Program
Page 99 and 100: 94 A.14 Timetable TABLE A-14 Timeta
Page 101 and 102: 96 This section presents in detail
Page 103 and 104: 98 TABLE B-2 Group, user ID and pas
Page 105 and 106: 100 broadcastdelay 0.008 authentica
Page 107 and 108: 102 mycapw [enter] During the above
Page 109 and 110: 104 service gsigatekeeper { socket_
Page 111 and 112: 106 B.3.3 Starting the MDS on All o
Page 113 and 114: 108 B.4 Checking the Installation T
Page 115 and 116: 110 This section introduces the ste
Page 117 and 118: 112 C.3.2 Configuration This sectio
Page 119 and 120: 114 [root@m1 root]#grid-proxy-info
Page 121 and 122: 116 The system will automatically p
Page 123 and 124: 118 C.6 Installing JDBC Driver on L
Page 125 and 126: 120 This section presents how to co
Page 127 and 128: 122 All the following files are com
Page 129 and 130: 124 } } } try { ctx.close(); } catc
Page 131 and 132: 126 }//for }else if(attribute.equal
Page 133 and 134: 128 public static void main(String
Page 135 and 136: 130 System.out.println(CentralizedS
Page 137 and 138: 132 gassJob[jobCount]=new GassJob(t
Page 139 and 140: 134 /** * Init job out listeners fo
Page 141 and 142: 136 // Start GASS server if (! star
Page 143 and 144: 138 // waits for DONE or FAILED sta
Page 145 and 146:
140 //get RSL of Job having index i
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142 class Job { private String jobn
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145 BIOGRAPHY Name : Mr. Nguyen Con
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