Publications

Abstract : Applying the popularly known technologies to solve real world problems are common practice among student researcher community, as it brings deeper understanding of the underlying technology for its further study and improvement. This paper aims at applying the Genetic Algorithm (GA) to solve the course allocation problem of educational institutions. The course allocation problem comprises of p number choices given by n numbers of students for m number of courses. Assigning the maximum number of students with their first or second choice of their courses is a cumbersome task. It is a typical optimization problem, which can be solved in ease by the Evolutionary Algorithms (EAs) such as GA. This paper proposes an automated system which uses GA (with five different crossover operators and three different mutation operators) to solve the course allocation system. A comparative study on the results obtained for different crossover operators is performed. The obtained results are verified with a real time data set collected from our University and validated the superiority of the proposed system.