This paper uses the L1−norm and the concept of the non-dominated vector, topropose a method to find a well-dispersed subset of non-dominated (WDSND) vectorsof a multi-objective mixed integer linear programming (MOMILP) problem.The proposed method generalizes the proposed approach by Tohidi and Razavyan[Tohidi G., S. Razavyan (2014), determining a well-dispersed subset of non-dominatedvectors of...

In this article, an effective method to control a power system during emergency conditions is presented. Based on Fuzzy Linear Programming (FLP), a new technique is developed to solve the Load Shedding and Generation Reallocation (LSGR) optimization Problem. The objective function consists of terms of load curtailments and deviations in generation schedules. The constraints are power system var...

Nowadays, customer expectations are increasing and organizations are prone to operate in an uncertain environment. Under this uncertain environment, the ultimate success of the firm depends on its ability to integrate business processes among supply chain partners. Supply chain management emphasizes cross-functional links to improve the competitive strategy of organizations. Now, companies are ...

Abstract In this article we introduce robustness measures in the context of multi-objective integer linear programming problems. The proposed are line with concept decision robustness, which considers uncertainty respect to implementation a specific solution. An efficient solution is considered be robust if many solutions its neighborhood as well. This rather new area research differs from conc...

As we are faced with more uncertainty problems in the real world, it is necessary to ‎provide ‎models that can provide appropriate solutions for dealing these issues. In this ‎study, ‎ proposed a new approach solving linear programming problem fuzzy ‎environment ‎based on ‎a related multi-objective model. This kind of be ‎reduced ‎fuzzy semi-infinite problem. way, present ‎mixed ‎Multi-Objectiv...

This article addresses a special class of non-linear programming problems, viz., linear fractional problems having multiple objectives. In solving the real-life optimization ambiguity and hesitation in decision are inherent ever-present, therefore, it is perfectly viable to formulate solve these models using intuitionistic fuzzy environment. The purpose this study propose simple computationally...

In this paper we propose a fuzzy goal programming method for obtaining a satisfactory solution to a bi-level multi-objective absolutevalue fractional programming (BLMO-A-FP) problems. In the proposed approach, the membership functions for the defined fuzzy goals of all objective functions at the two levels as well as the membership functions for vector of fuzzy goals of the decision variables c...