Sen, C. (2020) Improved Averaging Techniques for Solving Multi-Objective Optimization (MOO) Problems. SN Applied Sciences, 2, Article No. 286.
https://doi.org/10.1007/s42452-019-1892-3

has been cited by the following article:

• TITLE: Convertibility in Multi-Goal and Multi-Objective Optimization

  AUTHORS: Sukriti Gangwar, Chandra Sen

  KEYWORDS: Multi-Goal Optimization, Multi-Objective Optimization, Individual Optimization

  JOURNAL NAME: American Journal of Operations Research, Vol.12 No.1, January 18, 2022

  ABSTRACT: Multi-goal and multi-objective optimizations are similar techniques to achieve multiple conflicting goals/objectives simultaneously. There are several techniques for solving multi-goal and multi-objective optimization problems. The present study proposed the possibility of convertibility in solving multi-goal and multi-objective optimization problems.