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 …

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 presented a class of optimization problems known as extreme point multi-
objective linear programming problem. We propose a new technique (Harmonic Mean) to …

In this paper we presented a novel method to solve multi-objective linear programming
problems (MOLPP) which depends on the scaling method. The new idea is to construct a …

In this paper, we proposed a statistical averaging method (Quadratic mean) and a new
statistical averaging method (New Quadratic mean) for multi-objective linear programming …

In this paper, statistical averaging method (arithmetic mean, geometric mean) and new
statistical averaging method (new arithmetic mean, new geometric mean) have been …

An error in the estimation of multiobjective function has been pointed out by Dr. Sanjay and
Dr. Adarsh in a research paper on Multiobjective Optimization (MOO) problems. The …

The paper evaluates the newly proposed averaging techniques for solving multi-objective
optimization problems. Arithmetic mean, Harmonic mean, Geometric mean and many more …

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 …