02128nam a2200313 i 4500 CSPC 20240125125127.0 240125s2023 ph a b 000 0 eng d CSPC CSPC eng UTH BSCS C810t 2023 Coralde, James Emman, author. Tournament scheduling using genetic algorithm / James Emman Coralde, [and 3 others]. 94 leaves. rdacontent text rdamedia unmediated rdacarrier volume Undergraduate Theses (BSCS) - Computer Science Camarines Sur Polytechnic Colleges, 2023. Includes bibliographical references. The Tournament Scheduling's main task is to generate team scheduling using a genetic algorithm. Offline, the system is a web-based prototype. It runs in the browser and generates a schedule based on the team selected until the best of all teams is determined. The system's goal is to make it easy and accurate for each player and committee to reconcile to develop a sense of team in every tournament or sports event. The study also improve proper evaluation in every game and be smoothly organized to determine the flow and process after the game's result. Based on the information acquired at barangay Siramag Balatan, Camarines Sur. The prototype scored a 0.9, or 90 percent accuracy, and a 0.78, or 78 percent time efficiency, indicating that the facilitators were satisfied with both the accuracy and time efficiency of the prototype. Overall, the facilitators gave the prototype positive feedback. The study supported the claim that the genetic algorithm is efficient and precise for scheduling tournaments. Espalmado, Patricia Ivone, author Renegado, Ma. Fe, author Sanchez, Ma. Ellah, author Ramizares, Maricris L., adviser Onesa, Rosel O., panelist, chair Velasco, Kezia Abegail T., panelist Luzon, Niño Jeffrey L., panelist ddc 0 UM BSCS C810t UTH 2023 0 0 ddc 0 0 CSPC CSPC UTH 2024-01-25 0 UTH BSCS C810t 2023 006060UM 2024-01-25 00:00:00 2024-01-25 UM 26895 26895