Examining Genetic Algorithms as an effective Computational tool in Education-Domain

International Journal of Computer Trends and Technology (IJCTT)          
© 2016 by IJCTT Journal
Volume-34 Number-3
Year of Publication : 2016
Authors : Amritpal Singh, Gurjit Singh
DOI :  10.14445/22312803/IJCTT-V34P128


Amritpal Singh, Gurjit Singh "Examining Genetic Algorithms as an effective Computational tool in Education-Domain". International Journal of Computer Trends and Technology (IJCTT) V34(3):156-159, April 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
This paper employs Genetic algorithms (GA`s) for the enhancement of computational capabilities to achieve reduction in time complexities. These algorithms can be applied on diverse problems related to different fields like Civil Engineering, Bio Informatics, Bio Technology, Basic Sciences etc. Solution is evident and already provided by the nature; but how to look for it, depends upon individual. So, learning inspired from natural phenomenon can help in improving quality of higher education. Genetic algorithms mimic natural process of preserving the best and still try to improve solutions at each step. This paper focuses on less amount of time taken by these algorithms for performing calculations and generating results as compared to conventional techniques. These can be implemented very efficiently at various levels to deliver quality education.

[1] Sanjay S, Pradeep S , Manikanta V , Kumara S.S and Harsha P, Genetic Algorithm Based Approach for the Selection of Projects In Public R&D Institutions,Indian Journal of Computer Science and Engineerin, 2011
[2] Xing Lining, Chen Yingwu, Cai Huaiping, and Tao Fengyuan, The intelligent genetic algorithm with solving the whole optimited problems, Journal of System Simulation,2006.
[3] S. Vishnupriyan, L. Govindarajan, G. Prabhakaran & K.P. Ramachandran, Quality Improvement in Higher Education through Normalization of Student Feedback data Using Evolutionary Algorithm, The International Journal of Applied Management and Technology, Vol 6, Num 3
[4] Simon mardle & Sean pascol.( 1999) .An overview of genetic algorithms for the solution of optimization problems, Computers in Higher Education Economics Review, 13(1),pp.16-20.
[5] Ahmed A A Radwan; Abdel Mgeid A Ali;Bahgat A Abdel Latef & Osman A Sadek. (2006).Using genetic algorithm to improve information retrieval systems, Proceedings of the World Academy of Science Engineering and Technology, 17, pp.6-12.
[6] Cong Mingyu and Wang Liping, The intelligentized genetic algorithm , High Technology Letters, 2003.
[7] Fernando G. Lobo, David E. Goldberg, Martin Pelikan, Time complexity of genetic algorithms on exponentially scaled problem, 1991, pp. 51-58s
[8] Sergi Perez. Apply Genetic Algorithm to the learning phase of Neural Network, Department of Mechanical and Aerospace Engineering, University of California, Irvine
[9] Goldberg D E, Genetic Algorithms: In search, optimization and machine learning, New York: Addison-Wesley Publishing Co. Inc.,1989, pp. 59-75.
[10] Donald J. Berndt and Alison Watkins, Investigating the Performance of Genetic Algorithm-Based Software Test Case Generation, Eighth IEEE International Symposium on High Assurance Systems Engineering (HASE’04)
[11] E.hussein, Sherif, and Mahmoud Abo El-Nasr. "Resources Allocation in Higher Education Based on System Dynamics and Genetic Algorithms." International Journal of Computer Applications IJCA 77.10 (2013): 40-48. Web.
[12] Tian, Yu Guang, and Liang Ma. "Research on Limited Resources Optimal Allocation Model." Proceedings of the 2015 International Conference on Education, Management, Information and Medicine (2015). Web.
[13] Zhu, Yulan, Linlin Zhang, and Shaorong Sun. "Class Hour Allocation Optimization Model between E-education and Traditional Education in the Process of Higher Vocational Technology Education." 2011 International Conference on E-Business and E-Government (ICEE) (2011). Web.

Genetic Algorithm, Neural Networks, Education-domain, Computational tool.