Sulaiman, N.A., Sadiq, G.W. and Abdulrahim, B.K. (2014) New Arithmetic Average Technique to Solve Multi-Objective Linear Fractional Programming: Problem and Its Comparison with Other Techniques International Journal of Research and Reviews in Applied Sciences, 18, 122-131.

has been cited by the following article:

• TITLE: Role of Examples and Interpretation of Results in Developing Multi-Objective Optimization Techniques

  AUTHORS: Chandra Sen

  KEYWORDS: Multi-Objective Optimization, Averaging Multi-Objective Optimization Techniques, Improved Averaging Multi-Objective Optimization Techniques

  JOURNAL NAME: American Journal of Operations Research, Vol.10 No.4, July 24, 2020

  ABSTRACT: The paper evaluates the suitability of examples used in developing averaging techniques of multi-objective optimization (MOO). Most of the examples used for proposing these techniques were not suitable. The results of these examples have also not been interpreted correctly. An appropriate example has also been solved with existing and improved averaging techniques of multi-objective optimization.