A Web-Based Automatic Scheduling System for the Computer Studies Department of TUP Manila Utilizing a Genetic Algorithm / Jonnie Micaella V. Morales, Jummel Bryan R. Morales, Lance Andrei R. Juat, Albert John G. Tulop.

By:

Morales, Jonnie Micaella V

Contributor(s):

Material type: Text

TextManila : Technological University of the Philippines, 2022Description: 174 pages : illustrations ; 28 cm. + 1 CD-ROM (4 3/4 in.)Content type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

LOC classification:

BTH QA 76 M67 2022

Dissertation note: College of Science -- Bachelor of Science in Computer Science, Technological University of the Philippines, 2022. Abstract: The Computer Studies Department of Technological University of the Philippines - Manila has always used a traditional approach when it comes to scheduling tasks. This approach has become increasingly more unpredictable for cases when the volume of accepted students exceeds the available resources that the department can offer. Thus, creating a schedule has become a dilemma for the scheduler which usually leads to classes starting behind the target date indicated by the university calendar. To address this problem, the researchers devised a system that solves the issue through an innovative approach that creates schedules by utilizing Genetic Algorithms to implement automation in scheduling tasks. The system developed uses genetic algorithms by imitating evolution's survival of the fittest to come up with the best possible schedule from different types of raw data such as professors, rooms, sections, subjects, and the like. Because of incorporating genetic algorithms, the web-based scheduling system solved the manual approach problems and attained a satisfactory rating from the study's respondents.--Author's Abstract.

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Notes	Date due	Barcode
Bachelor's Thesis COS	TUP Manila Library	Thesis Section-2nd floor	BTH QA 76 M67 2022 (Browse shelf(Opens below))	c.1	Not for loan	For Room Use Only		BTH0003282

Thesis (Undergraduate)

College of Science -- Bachelor of Science in Computer Science, Technological University of the Philippines, 2022.

Includes bibliographical references.

The Computer Studies Department of Technological University of the Philippines - Manila has always used a traditional approach when it comes to scheduling tasks. This approach has become increasingly more unpredictable for cases when the volume of accepted students exceeds the available resources that the department can offer. Thus, creating a schedule has become a dilemma for the scheduler which usually leads to classes starting behind the target date indicated by the university calendar. To address this problem, the researchers devised a system that solves the issue through an innovative approach that creates schedules by utilizing Genetic Algorithms to implement automation in scheduling tasks. The system developed uses genetic algorithms by imitating evolution's survival of the fittest to come up with the best possible schedule from different types of raw data such as professors, rooms, sections, subjects, and the like. Because of incorporating genetic algorithms, the web-based scheduling system solved the manual approach problems and attained a satisfactory rating from the study's respondents.--Author's Abstract.

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