Budget Optimization and Allocation: An Evolutionary Computing Based Model

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

DOI: 10.2174/9781681087078118010007

Research Methodology

Pp: 26-53 (28)

Buy Chapters
  • * (Excluding Mailing and Handling)

Budget Optimization and Allocation: An Evolutionary Computing Based Model

Research Methodology

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

Pp: 26-53 (28)

DOI: 10.2174/9781681087078118010007

* (Excluding Mailing and Handling)

Abstract

This chapter deals with the different stochastic model which would help us to allocate the budget to a different department as well as schemes. For the allocation of the budget, a mathematical framework is developed using a combination of traditional mathematical model and evolutionary computing based model. A combination of Optimal Computing Budget Allocation (OCBA), Genetic Algorithm (GA) and Equal Allocation (EA) is considered for generating an efficient budgeting model. We have applied soft computing approach to optimize budget allocation in different schemes through which the funds are allocated proficiently.


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

Related Journals

Related Books