In this paper, we have proposed a new technique to find an efficient solution to fractional
programming problems (FPP). The multi-objective fractional programming problem (MOFPP) …

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

This study evaluates the existing averaging techniques used for solving multi-objective
optimization (MOO) problems. The problems are solved using mean, geometric and …

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 …

Shear crack control for a reinforced concrete T-beam using coupled stochastic-multi-objective
optimization methods Page 1 AIMS Materials Science, 10(6): 1077–1089. DOI: 10.3934/matersci.2023057 …

Abstract Multi-Objective Optimization (MOO) techniques often achieve the combination of
both maximization and minimization objectives. The study suggests scalarizing the multi …

This research article proposed three distinct Average Methods with various mean technique
is used to determine a solution of the Multi-Objective Linear Programming Problem (MOLPP) …

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 …

Speeding Up Fractal Image Compression by Reducing Image Size Page 1 The Effect of
Computer Simulation, Linear Programming for Industrial Projects Waddah Abdulelah Hussein …

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 …