Title: Modelling of nature inspired modified Fourier elimination technique for quadratic optimisation

Authors: Sanjay Jain; Adarsh Mangal; Sangeeta

Addresses: Department of Mathematical Sciences, S.P.C. Government Post Graduate College, India; Affiliated to: M.D.S. University, Ajmer-305001, Rajasthan, India ' Department of Mathematics, Government Engineering College, Affiliated to Bikaner Technical University Bikaner, Ajmer-305025, Rajasthan, India ' Department of Mathematical Sciences, S.P.C. Government Post Graduate College, India; Affiliated to: M.D.S. University, Ajmer-305001, Rajasthan, India

Abstract: In many decision problems, object occurs in nonlinear nature and expressed as in product form and corresponding optimisation problems are quadratic programs of product of two linear functions type. A new technique has been developed to find the solution of quadratic programming problem (QPP) by modelling of modified Fourier elimination technique of inequalities and concept of bounds. The technique is quite useful because the calculations are simple and takes least time then earlier existing methods. The technique has been illustrated by a numerical example also.

Keywords: quadratic programming problem; nature inspired elimination technique; inequalities; nonlinear objective function; constraints.

DOI: 10.1504/IJSI.2020.111162

International Journal of Swarm Intelligence, 2020 Vol.5 No.2, pp.182 - 190

Received: 13 Mar 2019
Accepted: 02 May 2019
Published online: 12 Nov 2020 *

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