Budget Optimization and Allocation: An Evolutionary Computing Based Model

Result and Discussion

Author(s): Keshav Sinha, Moumita Khowas and Sudip Kumar Sahana

Pp: 54-89 (36)

DOI: 10.2174/9781681087078118010008

* (Excluding Mailing and Handling)

Abstract

This chapter deals with the result section of budget allocation and optimization of the Secondary Education department of the Republic of India which has many schemes. Plot wise prediction is carried out and compared with the available reports to analyze the accuracy and effectiveness. The output shows that, the developed model has a great potential to allocate and optimize funds and also provides a high agreement for validation of the said mathematical model for budget allocation.


Keywords: Equal Allocation (EA), Genetic Algorithm (GA), Growth Rate, Optimal Computing Budget Allocation (OCBA).

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