University examination timetabling algorithm based on genetic algorithm / (Record no. 442)

MARC details
000 -LEADER
fixed length control field 02472nam a2200241 4500
001 - CONTROL NUMBER
control field UPMIN-00000010139
003 - CONTROL NUMBER IDENTIFIER
control field UPMIN
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221205103606.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221205b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency UPMin
Modifying agency upmin
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
090 #0 - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) LG993.5 2004
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) A64 C36
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Capacillo, Annie C.
9 (RLIN) 317
245 00 - TITLE STATEMENT
Title University examination timetabling algorithm based on genetic algorithm /
Statement of responsibility, etc. Annie C. Capacillo
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2004
300 ## - PHYSICAL DESCRIPTION
Extent 53 leaves
502 ## - DISSERTATION NOTE
Dissertation note Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2004
520 3# - SUMMARY, ETC.
Summary, etc. Examination timetabling deals with the scheduling of exams to the set of time slots subject to some constraints. Genetic algorithm was used as framework in making the examination timetabling algorithm. An algorithm for each genetic algorithm operators such as initialization, evaluation, selection, recombination, repair and mutation was developed to apply in the examination timetabling problem. The examination timetabling algorithm developed start with obtaining the initial population then evaluating each timetable and the population. After which, the parent timetables are selected and then recombined to produce a new set of populations. The recombined timetable is repaired to maintain feasibility and mutated afterwards. Whichever of the repaired and mutated population has the higher evaluation is compared to the previous population. If the produced population has the higher evaluation than the previous population, it will undergo the same process again, else the iteration stops and the previous population will be the set of the final timetables. The algorithm also end if the number of iteration predetermined is reached. Using the data of the University of the Philippines in Mindanao, the evaluation of the population after three iterations is higher by 0.093015262 compared with the initial population. Since this was done manually, it is recommended to encode the algorithm into a computer program. This study presented only one process of the possible combination of initialization, evaluation, selection, recombination, repair and mutation. It is thus recommended to experiment on the combination of these genetic algorithm operators in order to understand better and improve the performance of the genetic algorithm applied to the timetabling problem.
658 ## - INDEX TERM--CURRICULUM OBJECTIVE
Main curriculum objective Undergraduate Thesis
Curriculum code AMAT200
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
a Fi
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
a UP
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Thesis
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Status Collection Home library Current library Shelving location Date acquired Source of acquisition Accession Number Total Checkouts Full call number Barcode Date last seen Koha item type Price effective from
    Library of Congress Classification   Not For Loan Preservation Copy University Library University Library Theses 2005-03-22 donation UAR-T-gd511   LG993.5 2004 A64 C36 3UPML00021484 2022-09-21 Thesis  
    Library of Congress Classification   Not For Loan Room-Use Only College of Science and Mathematics University Library Theses 2005-03-01 donation CSM-T-gd1205   LG993.5 2004 A64 C36 3UPML00011308 2022-09-21 Thesis 2022-09-21
 
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