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Genetic Algorithm Based Load Evaluation Approach for Salvation of Complexities in Allocation of Budget Assets

  • Neelima ChilaganiEmail author
  • S. S. V. N. Sarma
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 755)

Abstract

In this innovation fast-growing environment the genetic algorithm is an iterative approach; it is concerning the intellectual based tryout and to get the fault mechanism to discover an inclusive best possible occurrences. Previously some of the cash based management models are developed by the researchers, many models are proposed and executed to solve the various complex problems, but still some challenging problems are waiting for the solutions. The Liquid Cash equal distribution is big challenge for many developing countries such as India, Srilanka, and China. These countries will plan their financial years in the form of year-wise budget models. But, here the realistic problem will starts when the allocated liquid cash assets are lesser or greater than the required cash asset amount of particular objective and the problem will be raised once it has implicated in practical executable mode. This paper described the full comparative analysis of various asset-cash balancing distribution of different state wise annual budget formation in table forms along with their department wise allotted asset value, objective and percentage of increment. Here described the year-wise improvement scenario with item based description along with the total expenders, revenue deficit, fiscal deficit, and primary deficit. It will delineate the genetic algorithm implications are implied to the major problem of asset equal distribution with the genetic-reproduction, genetic-crossover and genetic-mutation principles then to exchange the financial based services like as asset values and resources to each other using the traditional based mean difference methodology and recompose the cluster based inequality asset values into equality with concerns of the asset objectives and derived resources. This methodology will more helpful to the economist and finance profession for equally distributing the total liquid asset values into resource-based-and liquid-based asset values.

Keywords

Search space (SS) Traditional-Gradient-based process (TGbP) Genetic algorithm (GA) Local-active-maxima (LAM) Global-active-maxima (GAM) 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Computer Science DepartmentKakatiya UniversityWarangalIndia
  2. 2.Computer Science & Engineering DepartmentVaagdevi College of EngineeringWarangalIndia

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