A New Class Scheduling Approach using Genetic Algorithm Methods for Isabela State University

Abstract

Genetic algorithm methods have been used for solving complex problems in the field of medicines, business, agriculture and academe. In the academe like Isabela State University, one of the challenges every semester is the development of class, faculty, lecture and laboratory schedules. Some of the challenges encountered that greatly affect the start of conducting classes were overlapping of subjects and time conflicts this result shortage in terms of time tor the faculty in delivering the topics as scheduled.  In the part of the clienteles-the students there will be shortage in the expected skills and knowledge to be acquired in the subject. The integration of the genetic algorithm methods in the existing scheduling process creates a new scheduling technique named as Isabela State University Class Scheduling Algorithm (ISUCSA), use as basis in forming the program structure and logic flow of class scheduling program. The ISUCSA provides programming concepts for crafting class, faculty, classroom and laboratory schedules in lesser period of time and lessen if not free from overlapping of subjects and time conflicts