Suleiman, N.A. and Nawkhass, M.A. (2013) Transforming and Solving Multi-Objective Quadratic Fractional Programming Problems by Optimal Average of Maximin & Minimax Techniques. American Journal of Operational Research, 3, 92-98.

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.