Abstract This paper uses Optimal Average maximin and minimax value techniques to
transform multi-objective quadratic fractional programming problems (MOQFPP) to single …

In this paper, we have suggested a new technique to solve a MOLFPP by using new
geometric averaging method. An algorithm is suggested for its solution. We have used some …

In this paper we used a new transformation technique for solving multi-objective linear
fractional programming problem (MOLFPP) to single-Objective linear fractional …

The present paper evaluates the Sen's Multi-Objective Programming (MOP) method for
solving multi-objective optimization problems. The method has been successfully used in …

In this paper, we defined average technique and new average technique by using mean &
median to solve multi-objective quadratic fractional programming problem (MOQFPP) to …

In this paper we used a new transformation technique for solving multi-objective linear
fractional programming problem (MOLFPP) to single-Objective linear fractional …

There are many techniques for solving Multi-Objective Optimization (MOO) problems. Goal
programming, Weighted sum method, lexicographic method, and Ɛ-constraints method are …

Several scalarizing techniques are used for solving multi-objective optimization (MOO)
problems. Most of these scalarizing techniques were found inefficient in obtaining an …

Multi-objective optimization problem (MOOP) is an important class of optimization problem
that ensures users to model a large variety of real world applications. In this paper an …

In this paper, we define the dynamic programming approach to solve quadratic
programming problem when the objective function can be written as the product of two linear …