This study evaluates the existing averaging techniques used for solving multi-objective optimization (MOO) problems. The problems are solved using mean, geometric and harmonic mean averaging techniques. The solutions obtained using the existing averaging techniques were not appropriate. Improved averaging techniques using mean, geometric and harmonic mean are proposed in this study. These techniques have been tested with the suitable examples and found superior to existing MOO averaging techniques.