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65 TABLE 4-2 (CONTINUED) Course Section Lecturer Room Group CSC329 CSC329 CSC330 001 002 001 00020 00020 00020 CSCLECRM CSCLECRM CSCLECRM CSC328 CSC328 CSC330 001 002 002 00021 00021 00021 CSCCOMLB CSCCOMLB CSCLECRM ECE120 ECE120 ECE200 ECE200 001 002 001 002 00031 00031 00031 00031 ECELECRM ECELECRM ECEESTLB ECEESTLB ECE102 ECE102 ECE205 ECE212 001 002 002 001 00032 00032 00032 00032 ECELECRM ECELECRM ECELECRM ECELECRM ECE203 ECE203 ECE205 ECE212 001 002 001 002 00033 00033 00033 00033 ECELECRM ECELECRM ECELECRM ECELECRM ECE217 ECE217 ECE218 ECE218 001 002 001 002 00034 00034 00034 00034 ECELECRM ECELECRM ECEDCDLB ECEDCDLB ECE320 ECE320 ECE325 ECE325 001 002 001 002 00035 00035 00035 00035 ECELECRM ECELECRM ECELECRM ECELECRM ECE326 ECE326 001 002 00036 00036 ECEELCLB ECEELCLB SIE305 001 00046 SIELECRM SIE305 002 00047 SIELECRM MAT125 MAT125 001 002 00059 00059 MATLECRM MATLECRM MAT220 MAT220 MAT223 001 002 001 00061 00061 00061 MATLECRM MATLECRM MATLECRM
66 TABLE 4-2 (CONTINUED) Course Section Lecturer Room Group MAT223 002 00061 MATLECRM MAT322 MAT322 001 002 00063 00063 MATLECRM MATLECRM CHE103 CHE103 005 006 00071 00071 CHELECRM CHELECRM CHE104 005 00072 CHEFTCLB CHE104 006 00073 CHEFTCLB Similarly, constraints about classroom size and lecturer’s time are also prepared. 4.2 The Experiments and Discussions 4.2.1 Experimental Designs The aims of the experiments are to evaluate the influence of setting the GA parameters and the influence of the grid computing environment. The proposed GA that is presented in chapter 3 is applied to both the centralized course scheduling program and decentralized course scheduling program. In addition, the same values of the GA parameters will be applied to these programs. Thus, to evaluate the efficiency of the GA, we only need to test one of the above course scheduling programs. Here, we test the centralized course scheduling program. To evaluate the influence of the grid computing environment, we use the grid system as shown in section 3.7. We will do four separate experiments. The first experiment tests the influence of weighting for hard and soft constraints in the fitness function. The second and third experiments test the influence of the mutation rate and the population size on the speed of evolution respectively. Finally, the forth experiment tests the influence of using the grid computing environment. The course scheduling is a NP hard problem, and the GA itself is a metaheuristic algorithm. Therefore, we would obtain a good enough solution if not the best one. Each experiment will run models until the GA detects the best solution or until the GA cannot improve the fitness value in 300 consecutive generations. The model giving a faster fitness value via many runs would be a better one.
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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
Page 7 and 8:
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
Page 21 and 22: 13 Gueret et al. have implemented a
Page 23 and 24: 15 When the atoms are at a high tem
Page 25 and 26: 17 The outline of the basic genetic
Page 27 and 28: 19 As shown in Figure 2-6, first of
Page 29 and 30: 21 2.3.2.1 Crossover After we have
Page 31 and 32: 23 these chromosomes. According to
Page 33 and 34: 25 2.4.1 Application Considerations
Page 35 and 36: 27 Southern California, the Argonne
Page 37 and 38: 29 2.4.3.2 Application Programming
Page 39 and 40: 31 2.5 Summary The course schedulin
Page 41 and 42: 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: 64 26 lecturers are assigned to tea
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 and 94: 88 This section presents the struct
Page 95 and 96: 90 A.5 Building TABLE A-5 Building
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
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118 C.6 Installing JDBC Driver on L
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120 This section presents how to co
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122 All the following files are com
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124 } } } try { ctx.close(); } catc
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126 }//for }else if(attribute.equal
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128 public static void main(String
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130 System.out.println(CentralizedS
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132 gassJob[jobCount]=new GassJob(t
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134 /** * Init job out listeners fo
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136 // Start GASS server if (! star
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138 // waits for DONE or FAILED sta
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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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