[PDF] Top 20 A necessary condition for multiple objective fractional programming
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A necessary condition for multiple objective fractional programming
... The point-function counterparts of (P) are known in the area of mathematical programming as multi-objective fractional programming problems. These problems have been the focus of interest in ... See full document
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On Fuzzy Multi-objective Linear Fractional Programming Problems
... Linear fractional programming is one of the most popular fields today in nonlinear optimization ...having multiple local optimum solutions, not optimal ... See full document
5
Vol 3, No 8 (2012)
... The multiple objective linear fractional programming (MOLFP) problem is one of the most popular models used in multiple criteria decision ... See full document
7
Optimization over an integer efficient set of a Multiple Objective Linear Fractional Problem
... the Multiple Objective Linear Programming problem (MOLP) have attracted much attention because of their important applica- tions in decision ...linear programming procedure for detecting and ... See full document
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Duality models for some nonclassical problems in the calculus of variations
... nonparametric necessary and sufficient optimality conditions are established for a class of nonconvex variational problems with generalized frac- tional objective functions and nonlinear inequality ... See full document
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Multi-Level Multi-Objective Linear Plus Linear Fractional Programming Problem Based On Fgp Approach
... [18] S. Pramanik, and T. K. Roy, “Multiobjective transportation model with fuzzy parameters: based on priority based fuzzy goal programming approach”, Journal of Transportation Systems Engineering and Information ... See full document
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Determining Efficient Solutions of Multi Objective Linear Fractional Programming Problems and Application
... DOI: 10.4236/ojop.2017.64011 166 Open Journal of Optimization Here we concentrate on finding more than one (depending on the number of objectives) efficient solution of MOLFP problem by using the methods proposed by ... See full document
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On Solving a Multi-Objective Intuitionistic Fuzzy Linear Fractional Programming Problem
... Multi-objective optimization is the process of simultaneously optimizing two or more conflicting objectives subject to certain constraints. In many real world problems, there are situations where multiple ... See full document
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A New Approach To Solve Fuzzy Fractional Assignment Problem By Using Taylor’s Series Method
... linear programming problem where the objective is to assign n number of persons to n jobs at a minimum cost ...theory, multiple criteria decision making and constraint- directed ... See full document
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FGP approach to multi objective quadratic fractional programming problem
... multi objective (DBL-MOP) problems with a single decision maker at the up- per level and multiple decision makers at the lower ...goal programming for fuzzy multi objective optimization ... See full document
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An exact method for a discrete multiobjective linear fractional optimization
... linear fractional programming problem with multiple objective MOILFP is an important field of research and has not received as much attention as did multiple objective linear ... See full document
13
Semilocal E preinvexity and its applications in nonlinear multiple objective fractional programming
... JHH proposed the concept of semilocal E-preinvex functions and discussed some of its important properties. Additionally, JHH carried out the studies of optimality and duality for a nonlinear multiobjective ... See full document
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Comparative analysis of linear and multi-objective model application in a private hospital healthcare planning in Nigeria
... rth objective in the context of the decision maker's total utility and Nr is a normalizing factor which converts the goal values so they are valued somewhere around ...rth objective achieved; glr is the ... See full document
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Vol 2, No 5 (2011)
... Fractional programming problem, which has been used as an important planning tool for the last four decades, is applied to different disciplines such as engineering, business, ...economics…etc. ... See full document
6
On solving multi objective fractional linear programming problems
... linear programming problems in which the objective function is a ratio of linear functions and the constraints are linear ...linear fractional models arise in construction planning, economic and ... See full document
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Designing an Integrated Multi-objective Supply Chain Network Considering Volume Flexibility
... Differential evolution (DE) is a novel evolutionary algorithm recently introduced by Storn and Price (18) for optimization problems over continuous spaces. Due to its ease of use, fast convergence and robustness, DE has ... See full document
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Multiobjective Quadratic Fractional Programming using Iterative Parametric Function
... one objective function is optimized to its best desired level and remaining objectives are converted into constraints with their acceptability levels maintained by the efficient ... See full document
6
Optimality of beamforming condition for multiple antenna systems with mean feedback
... The necessary and sufficient condition for beamforming optimality for multiple-input multiple output (MIMO) systems with mean feedback has been derived and thoroughly investigated in this ... See full document
9
Vol 3, No 6 (2012)
... For any graph G, the fractional domination number (G) is defined by (G) = min { is a MDF of G}. Although domination and other related concepts have been extensively studied for undirected graphs, the respective ... See full document
5
Solving the Interval Valued Linear Fractional Programming Problem
... In Section 2 we state some required preliminaries from interval arithmetic. In Section 3 the interval valued linear fractional programming problem is introduced. In Sec- tion 4 we solved numerical examples. ... See full document
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