000			02128nam a2200313 i 4500
003			CSPC
005			20240125125127.0
008			240125s2023 ph a b 000 0 eng d
040			_cCSPC _aCSPC _beng
090			_aUTH BSCS C810t 2023
100	1		_aCoralde, James Emman, _eauthor.
245	1	0	_aTournament scheduling using genetic algorithm / _cJames Emman Coralde, [and 3 others].
300			_a94 leaves.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
502			_aUndergraduate Theses (BSCS) - Computer Science _cCamarines Sur Polytechnic Colleges, 2023.
504			_aIncludes bibliographical references.
520	3		_aThe 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.
700	1		_aEspalmado, Patricia Ivone, _eauthor
700	1		_aRenegado, Ma. Fe, _eauthor
700	1		_aSanchez, Ma. Ellah, _eauthor
720	1		_aRamizares, Maricris L., _eadviser
720	1		_aOnesa, Rosel O., _epanelist, chair
720	1		_aVelasco, Kezia Abegail T., _epanelist
720	1		_aLuzon, Niño Jeffrey L., _epanelist
942			_2ddc _n0 _cUM _hBSCS _iC810t _kUTH _m2023
999			_c26895 _d26895