Open AccessImproved Weighted Sum Multi Objective Programming
Author(s) -
Chandranath Sen
Publication year - 2021
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst070126
Subject(s) - mathematical optimization , multiobjective programming , computer science , goal programming , fractional programming , multi objective optimization , mathematics , nonlinear programming , physics , nonlinear system , quantum mechanics
Optimizing the combined objective function is the most common approach of Multi Objective Programming(MOP). The scalaization of objective functions have been recommended for combining the objective functionsof various dimensions. The Weighted Sum Multi Objective Programming (WSMOP) has also been used forobtaining desirable solution. Several WSMOP methods are used for solving multi objective problems. Fewweaknesses have noticed in WSMOP methods. An improved method of WSMOP is proposed in the presentstudy for obtaining desirable solution of multi objective programming problems.