Paper Key : IRJ************323
Author: Manthu Kavya,Maram Lasya,Pabbisetty Venkata Baby Suraksha,Muthuvairavan Pillai
Date Published: 11 Nov 2024
Abstract
: Preparing a schedule is not an easy task and takes considerable time and effort. Timetables have a number of uses including: the coordination of class hours in schools and colleges; the adjustment of the time of railway and bus work; and so on. Classically, drawing up a schedule is a time consuming and labour intensive task. The purpose of this paper is to examine if Genetic Algorithms can cut the length of this process and enhance the performance with reduced human input.It speeds up and increases the reliability of the timetable generation for sure with the help of a Genetic Algorithm. The scheduling process within this approach involves two phases; in the first phase, all the core classes of the institute will be scheduled and this is done at a centralized level. The next phase on the classes that are offered per department only. This stage of the timetabling process entails drawing up daily and weekly work schedules for the departments activities which is mainly done by manual effort. Due to the importance of creating a workable timetable, previous years timetables are usually borrowed and recycled with the aim of making one shortest time schedule possible. Such a manual process is susceptible to human error and awkwardness where RGA comes in beneficial as it solves these problems by producing an accurate and optimum timetable.