OPTIMIZATION THROUGH APPROXIMATION ALGORITHM

Authors

  • Adarsh Mangal ENGINEERING COLLEGE AJMER
  • Ashok Singh Chouhan Research Scholar, Department of Mathematics, Bhagwant University Ajmer
  • Dr Research Supervisor, Department of Mathematics, Bhagwant University Ajmer : Presently Ram Sakal Singh Science College, Sitamarhi

DOI:

https://doi.org/10.56042/bvaap.v33i2.19339

Keywords:

Cubic Objective Function Programming Problem, Approximation Algorithm, Optimal Solution

Abstract

This research paper proposes an Approximation Algorithm to solve the Cubic Objective Function  Programming Problem (COFPP). The same had been introduced to solve the Linear Programming Problem (LPP) by Khobragade et al. In this paper, we used the Approximation algorithm to solve linearly factorized cubic objective function programming problem. This algorithm can achieve an optimal solution in fewer iterations as compared to Simplex method. Hence, the proposed algorithm can be better understood by solving a cyclic problem.

Additional Files

Published

2026-01-15

How to Cite

OPTIMIZATION THROUGH APPROXIMATION ALGORITHM. (2026). Bharatiya Vaigyanik Evam Audyogik Anusandhan Patrika (BVAAP), 33(2), 97-101. https://doi.org/10.56042/bvaap.v33i2.19339

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