New quadratic formulation and advanced transformation technique to solve multi objective quadratic programming problem

Abstract

Multi-objective optimization problem (MOOP) is an important class of optimization problem that ensures users to model a large variety of real world applications. A survey of quadratic programming is presented in corporate and economic planning formulation. An Advanced transformation technique has been proposed to solve MOOP. The research aims to find maximum profits diagnostics of a Textile industry by using proposed technique. Chandra Sen’s technique, statistical average technique and modified statistical average technique are used to solve multi-objective quadratic programming problem (MOQPP) and Pareto optimal solution analysis has been done. Applying on different types of examples, the result indicates that the proposed method gives better solution than other methods and it is less time consuming. This is easy to calculate which ensures more accuracy. Physical presentation and data analysis represent the worth of the method more compactly.