Abstract
Elementary education is crucial for the country’s economic growth. It is an instrument we use as a mentor to be successful in life. In this paper, we study the school-level data for various states in India which includes union territories also and collected from government UDISE statistics. In this paper, we have evaluated efficiency using data envelopment analysis (DEA) and multi-objective differential evolution (MODE) with adaptive constraint optimization methods. The data set used in the study includes the basic needs of schools and enrolment of students. Based on the certain input and output parameters, our analysis shows that in how many states the education delivery system is accurate and utilizing the resources provided by the government.
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Singh, N., Nandini, Pant, M. (2020). Performance of Elementary Schools by Data Envelopment Analysis and Differential Evolution. In: Pant, M., Sharma, T., Verma, O., Singla, R., Sikander, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1053. Springer, Singapore. https://doi.org/10.1007/978-981-15-0751-9_40
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DOI: https://doi.org/10.1007/978-981-15-0751-9_40
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