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Nahar, S. and Alim, A. (2017) A New Geometric Average Technique to Solve Multi-Objective Linear Fractional Programming Problem and Comparison with New Arithmetic Average Technique. IOSR Journal of Mathematics (IOSR-JM), 13, 39-52.
https://doi.org/10.9790/5728-1303013952

has been cited by the following article:

• TITLE: Duality in Solving Multi-Objective Optimization (MOO) Problems

  AUTHORS: Chandra Sen

  KEYWORDS: Duality, Multi-Objective Optimization (MOO), Scalarizing Techniques

  JOURNAL NAME: American Journal of Operations Research, Vol.9 No.3, May 21, 2019

  ABSTRACT: Multi-Objective Optimization (MOO) techniques often achieve the combination of both maximization and minimization objectives. The study suggests scalarizing the multi-objective functions simpler using duality. An example of four objective functions has been solved using duality with satisfactory results.