Results 271 to 280 of about 69,882 (311)

Neutrosophic goal programming technique with bio inspired algorithms for crop land allocation problem. [PDF]

Sci Rep
Angammal S, Grace GH.
europepmc   +1 more source

MRI-based diffusion weighted imaging and diffusion kurtosis imaging grading of clear cell renal cell carcinoma using a deep learning classifier. [PDF]

Oncol Lett
Zheng W, Luo X, Liu Y, Xu C, Liu K, Kong D, Sun P, Li Y, Shi X, Dong Z, Cao J.   +10 more
europepmc   +1 more source

A new bi-level TOPSIS based neutrosophic programming technique for land allocation to medium farm holders. [PDF]

Heliyon
S A, G HG.
europepmc   +1 more source

Brain Abnormalities in Children Exposed Prenatally to the Pesticide Chlorpyrifos.

JAMA Neurol
Peterson BS, Delavari S, Bansal R, Sawardekar S, Gupte C, Andrews H, Hoepner LA, Garcia W, Perera F, Rauh V.   +9 more
europepmc   +1 more source

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Multiple Objective Linear Fractional Programming

Management Science, 1981
This paper presents a simplex-based solution procedure for the multiple objective linear fractional programming problem. By (1) departing slightly from the traditional notion of efficiency and (2) augmenting the feasible region as in goal programming, the solution procedure solves for all weakly efficient vertices of the augmented feasible region. The
Jonathan S. H. Kornbluth, Ralph E. Steuer   +1 more
openaire   +1 more source

Solving linear fractional bilevel programs

Operations Research Letters, 2004
The authors give a geometrical characterization of the optimal solution to the linear fractional bilevel programming (LFBP) problem in terms of what is called a boundary feasible extreme point. It is assumed that the second level optimal solution sets are singletons. The results extend the characterization proved by \textit{Y. H. Liu} and \textit{S. M.
Calvete, Herminia I., Galé, Carmen
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Bicriteria linear fractional programming

Journal of Optimization Theory and Applications, 1982
As a step toward the investigation of the multicriteria linear fractional program, this paper provides a thorough analysis of the bicriteria case. It is shown that the set of efficient points is a finite union of linearly constrained sets and the efficient frontier is the image of a finite number of connected line segments of efficient points. A simple
Choo, E. U., Atkins, D. R.
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Connectedness in Multiple Linear Fractional Programming

Management Science, 1983
The geometric properties of the sets of efficient and weakly efficient solutions of multiple linear fractional programming problems are investigated. Weakly efficient solutions are path-connected by finitely many linear line segments when the constrained region is compact.
E. U. Choo, D. R. Atkins
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Linear Fractional and Bicriteria Linear Fractional Programs

1990
In this paper we will restate the sequential methods suggested by the Authors [8] for solving a linear fractional problem for any feasible region using the concept of optimal level solutions.
CAMBINI A., MARTEIN, LAURA
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