[PDF] Top 20 Síndrome de Goldenhar: Reporte de un Caso y revisión de literatura

... the fractional calculus discoveries usage in many categories of science and engineering, containing fluid flow, diffusive transport theory, electrical networks, electromagnetic theory, probability and ...The ... See full document

... the concept of Univex functions by utilizing a local fractional differential-difference operator, based on different types of local fractional calculus (fractal ...these ... See full document

... set functions by Morris [28] and its extension for n-set functions by Corley [9], various generalizations of convexity for set and n-set functions were proposed in [6, 22, 23, 24, 30, 31, 36, 37, 41, ... See full document

... semi-infinite multi- objective optimization problems (SIMOPs), which is the simultaneous minimization of finitely many scalar objective functions subject to an infinitely many ...on ... See full document

... the optimality conditions and dual theory of multi-objective programming problems involving generalized ...type-I functions are introduced for arcwise connected functions, and examples ... See full document

... A multi-objectives decision support system developed for rehabilitation planning of public infrastructure by ...time-value concept for both cost and condition ... See full document

... n-set functions which will be used frequently throughout the ...of duality for (P) in Section 3 where we formulate a simple dual problem and prove weak, strong, and strict converse duality ... See full document

... Theorem 4.6 (strict converse duality). Let S ∗ and Ᏺ(S,S ∗ ; · ) be as in Theorem 4.4, let ( S, u, v) be a feasible solution of (DII) such that f (S ∗ , S, u) 0, and assume that any one of the four sets of ... See full document

... of functions called (C, α, ρ, d)-convex functions and de- rived duality theorems for a nondifferentiable minimax fractional programming problem under (C, α, ρ, ...tive fractional ... See full document

... monic functions which are defined by fractional ...by fractional operator, we define new subclasses of harmonic ...for functions related to the classes newly ... See full document

... Contrary to the traditional solving approaches, such as weighted sum method that combines the different objectives linearly (Grosan & Abraham, 2010; Casetelletti, Pianosi & Restelli, 2013) or the lexicographic ... See full document

... two objective values are equal. The optimality of (x ∗ , μ ∗ , s ∗ , λ ∗ , y ∗ ) for (D) thus follows from Theorem ...converse duality) Let x ∗ and (z ∗ , μ ∗ , s ∗ , λ ∗ , y ∗ ) be optimal solutions ... See full document

... a multi-objective optimization has been performed based on a genetic ...the optimization parameter, a generalized geometric-mean utility function has been chosen, which appears to be a complex ... See full document

... [10] Yan, C.L. and Feng, B.C. (2015) Sufficiency and Duality for Nonsmooth Multiob- jective Programming Problems Involving Generalized ( , ) ϕ ρ -V-Type I Functions. Journal of Mathematical Modelling and ... See full document

... convex functions, namely B- vex functions which satisfy many of basic properties of convex functions, was introduced by Bector and Singh ...and duality theorem involving generalized type I ... See full document

... Duality in fractional programming is an important class of duality theory and several contribution have been made in the past[4,5,9,10,11,12,17,20 ,21,22,23]for its development ...some ... See full document

... Multi-Objective Optimization helps in making decisions in presence of usually conflicting ...ing multi-objective optimization ...the multi-objective function ...of ... See full document

... sufficient optimality conditions and duality theorems for a nondifferentiable minimax fractional programming problem with B-(p, ...sufficient optimality conditions. Duality results are ... See full document

... There have been recent approaches that simplify to some extent the PAL algorithm. Campigotto et al. (2014) proposes an active learning algorithm that also uses Gaussian process modeling to predict the objective ... See full document

... E-convex functions, and E-convex programming, discussed some of their basic properties, and obtained some optimality results on E-convex ...semi-E-convex functions and also discussed its basic ... See full document