Up until this point, we assumed that there would be a single, clear objective function. Often we have more complex situations where there are multiple conflicting objectives. In our earlier production ...

James P. Ignizio, A Review of Goal Programming: A Tool for Multiobjective Analysis, The Journal of the Operational Research Society, Vol. 29, No. 11 (Nov., 1978), pp ...

Abstract This paper is comprised of the modeling and optimization of a multi objective linear programming problem in fuzzy environment in which some goals are fractional and some are linear. Here, we ...

Under suitable normality assumptions this problem is amenable to a quadratic programming formulation. OR professionals in every field of study will find information of interest in this balanced, ...

Abstract This study introduces an alternative through two phases of goal programming to overcome the existing membership model problem that does not have a specific mathematical method to examine ...

In this paper we proposed that using goal programming we can find the interesting patterns according to the user's requirement at particular time. In order to control the priority of interesting ...

This paper presents a goal programming model for problems where resources are defined by the opinion of multiple experts. Through the use of Type-2 fuzzy sets, we propose a model that includes human ...

The multiobjective optimization (MOO) of industrial water networks through goal programming is studied using a mixed-integer linear programming (MILP) formulation. First, the efficiency of goal ...

Goal-Programming-with-Column-Dropping-Rule Column dropping rule is a technique used in goal programming.The goal of column dropping rule is to reduce the number of variables in a problem while still ...

All of these are "goal oriented" in that you can objectively measure one outcome against another (lowest cost, highest score, etc.), and feed the information from that iteration back into another ...