A Genetic Approach Based Solution for Seat Allocation during Counseling for Engineering Courses
Автор: Ashwani Chandel, Manu Sood
Журнал: International Journal of Information Engineering and Electronic Business(IJIEEB) @ijieeb
Статья в выпуске: 1 vol.8, 2016 года.
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Genetic Algorithm (GA) is one of the most popular optimization solutions for scheduling problems and has already been used to implement variety of applications. In this paper, we describe a heavily constrained seat allocation problem experienced during counseling for seat allocation in college/universities based upon the merit of students computed on the basis of an entrance test. Manual process of allocating seats is not just inconvenient but proves expensive in terms of time and money. The application of GA involves using selection, crossover or mutation operators applied to populations of chromosomes. We propose a powerful technique using genetic algorithm (GA) in scheduling as a potential solution to the seat allocation process which has been supported with the help of an illustrative example.
Genetic algorithm, seat allocation, Fitness cost, Mutation, Crossover, Population, Chromosomes
Короткий адрес: https://sciup.org/15013392
IDR: 15013392
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