[PDF] Top 20 Determining Efficient Solutions of Multi Objective Linear Fractional Programming Problems and Application

... one fractional objective function, it is difficult to talk about the optimal solutions of these ...al objective functions exist, the optimal solution for an objective function may not ... See full document

... Linear fractional programming is one of the most popular fields today in nonlinear optimization ...several linear ratios is a special class optimization ...optimization problems has ... See full document

... Bilevel programming is proposed in the literature for dealing with hierarchical ...mization problems where the data of the first one is im- plicitly determined by the solution of the ...own objective ... See full document

... into linear programming (LP) problem with interval ...their solutions. Yano and Sakawa [46] solved this problem by non-linear programming technique which used bisection method and ... See full document

... world problems, there are situations where multiple objectives may be more appropriate rather than considering single ...on efficient solutions, which are optimal in a certain ... See full document

... Multi-objective optimization is the process of simultaneously optimizing two or more conflicting objectives subject to certain ...world problems, there are situations where multiple objectives may ... See full document

... efficient solutions for multiple objective integer linear fractional programming problems is presented The method does not require any nonlinear ...A linear ... See full document

... of linear programming problem where the objective is to assign n number of persons to n jobs at a minimum cost ...decision problems. Fuzzy assignment problems have received great ... See full document

... the efficient solutions of linear fractional multi-objective optimization problems (LFMOP) subject to a system of fuzzy relational equations (FRE) using the max-average ... See full document

... an efficient solution of (MOLP) for λ= λ̅, then there exists W ̅ ≥ 0, such that X ̅ solves P(W) for λ = λ̅, and if X ̅ solves P(W) uniquely for λ = λ̅, W ̅ ≥ 0, or if X ̅ solves P(W) for λ = λ̅, W ̅ > 0 then X ... See full document

... The rest of the paper is arranged as follows: Section 2 is preliminaries to intuitionistic fuzzy set and intuitionistic fuzzy numbers needed for consequent sections. Section 3 comprise of modelling of an intuitionistic ... See full document

... world problems it is not possible to have all constraints and resources in exact form rather they are in expected or vague ...fuzzy programming gives the methodology of solving the problems in fuzzy ... See full document

... The rest of the paper is as: In section 2; some preliminaries need in the paper are presented. In section 3, some of notation and assumptions are introduced. In section 4,a fully fuzzy multi-objective ... See full document

... for linear programming ...single objective and multi-objective linear programming problems of large scales generates a sequence of interior feasible points that ... See full document

... solve multi-objective linear bilevel pro- gramming problems ...solving multi- objective linear bilevel multi-follower programming ...Fuzzy programming ... See full document

... constrained multi-objective linear plus linear fractional programming problem with random variables is ...the fractional objectives into linear forms first order ... See full document

... solving multi-objective programming problem (MOLPP) and to suggest a new algorithm to convert the MOLPP into a single LPP by using harmonic mean of the values of objective functions and its ... See full document

... in objective function which is based on Charnes and Cooper technique (2012) solved the LFP problem by algebraic approach which depends on the duality concept and the partial ...one objective function ... See full document

... In this paper we discuss about infeasibility diagnosis and infeasibility resolution, when the constraint method is used for solving multi objective linear programming problems. We ... See full document

... One of the conventional methods for solving zero-one nonlinear programming problem is to transform it to a linear programming problem. The main difficulty of this method is the very large number of ... See full document