Robust neutrosophic programming approach for solving intuitionistic fuzzy multiobjective optimization problems

A new approach for solving neutrosophic integer programming problems

Linear programming is one of the most important usages of operation research methods in real life, that includes of one objective function and one or several constraints which can be in the form of equality and inequality. Most of the problems in the real world are include of inconsistent and astute uncertainty, because of this reason we can’t obtain the optimal solution easily. In this paper, ...

A NEW APPROACH FOR SOLVING FULLY FUZZY QUADRATIC PROGRAMMING PROBLEMS

Quadratic programming (QP) is an optimization problem wherein one minimizes (or maximizes) a quadratic function of a finite number of decision variable subject to a finite number of linear inequality and/ or equality constraints. In this paper, a quadratic programming problem (FFQP) is considered in which all cost coefficients, constraints coefficients, and right hand side are characterized by ...

New optimality conditions for multiobjective fuzzy programming problems

In this paper we study fuzzy multiobjective optimization problems defined for $n$ variables.  Based on a new $p$-dimensional fuzzy stationary-point definition,  necessary  efficiency conditions are obtained.  And we prove that these conditions are also sufficient under new fuzzy generalized convexity notions. Furthermore, the results are obtained under general differentiability hypothesis.

Optimization System for Solving Problems of Nonlinear Multiobjective Programming

Every day almost everyone has to plan or organize some activity by using different resources time, money, etc. It is even more important for managers that often are in a continuous process of decision making. Most managers rely mainly on their experience and intuition, rather than on strict mathematical models and optimization methods. With advances in the computer industry, it is becoming fa...

Fuzzy Primal Simplex Algorithms for Solving Fuzzy Linear Programming Problems