Impact Factor
7.883
Call For Paper
Volume 12 Issue 07
July 2026
Author(s)
Harshal R. Kotwal Hitesh G. Firake Anuradha B. Tomar Radha A. Varma, Pooja Y. Warade
Abstract
There Are Various Approaches Used By The Researchers To Develop An Automatic Time-table Scheduling. But Traditional Heuristic Approaches Are Inefficient And Inflexible When Solving Scheduling Problems. The Genetic Algorithm Can Be Used To Design And Deve
Keywords
Genetic Algorithm
Timetable Scheduling
Np-Hard Problems.
Paper ID
IJSARTV4I623977
Publication Date
June 6, 2018
Research Area
Computer Engineering