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M. Sun, A. Stam, and R. E. Steuer, “Interactive multiple objective programming using Tchebycheff programs and artificial neural networks,” Computers & Operations Re-search, Vol. 27, pp. 601–620, 2000.

has been cited by the following article:

• TITLE: A New Interactive Method to Solve Multiobjective Linear Programming Problems

  AUTHORS: Mahmood REZAEI SADRABADI, Seyed Jafar SADJADI

  KEYWORDS: Multiobjective Linear Programming, Multiobjective Decision Making, Interactive Methods

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.2 No.4, November 27, 2009

  ABSTRACT: Multiobjective Programming (MOP) has become famous among many researchers due to more practical and realistic applications. A lot of methods have been proposed especially during the past four decades. In this paper, we develop a new algorithm based on a new approach to solve MOP by starting from a utopian point, which is usually infeasible, and moving towards the feasible region via stepwise movements and a simple continuous interaction with decision maker. We consider the case where all objective functions and constraints are linear. The implementation of the pro-posed algorithm is demonstrated by two numerical examples.