[PDF] Top 20 Evaluación de la función cognitiva en pacientes con síndrome de Rett

... the Solid Transportation Problem (STP) was stated by Shell [1] in 1955, which, he considered the three item properties in the constraint set instead of two items namely source and ...optimum solution ... See full document

... different problems by different authors [14, 15, 16, ...multi_ objective interval solid Transportation problems in stochastic environment[20,26,27,28,29,30],solution ... See full document

... The transportation problem (TP) is one of the best optimization methods that can be applied to different areas of human being ...the transportation of the product from the origins to the destinations is ... See full document

... the solution of the transportation model, becomes a stochastic interval ...the problems with ...chance multi-objective programming and Dependent Chance Goal Programming ... See full document

... (multi-objective, multi-item and multi-objective multi-item ones), the inequality has been considered as a general ...decision value. That decision value will give ... See full document

... Optimal solution of fuzzy transportation problem using hexagonal fuzzy ...the multi-objective transportation problem with interval ... See full document

... method using the principle of zero point method introduced by Pandian and Natarajan (2010) for finding an optimal solution of ...with multi objective programming problems with ... See full document

... total transportation cost will be fuzzy as ...a solution procedure that is able to calculate the fuzzy objective value of the fuzzy solid transportation problem, where all the ... See full document

... solving transportation problems in tackling of specific origin, landing place boundary and penance ...life problems, parameters are not be satisfied for all ...conditions. Transportation ... See full document

... a solution procedure has been given for the Multi-Objective Interval Solid Transportation Problem under stochastic environment (MOISTP) where the cost coefficients of the ... See full document

... a solution procedure for multi-objective interval STP under a stochastic ...an expected constrained programming for an uncertain STP ... See full document

... optimal solution in multi-objective problems, but rather a set of non inferior (pareto optimal) solutions from which the decision maker (DM) must select the most preferred or best compromise ... See full document

... with interval coefficients 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 ... See full document

... LFP Problems and solved it by a sequence of linear programming ...updated objective function method were developed for solving the LFP problem by Bitran and Novaes ... See full document

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

... In this work, we suggest treating the class set in a classification task as random, in order to extrapolate classification performance on a small task to the expected performance on a larger unobserved task. We ... See full document

... In the previous chapter, we introduced the EV charging problems that we consider in this thesis. In this chapter, we focus on the version in which the charging power is continuous: CEVCP. As mentioned in the ... See full document

... the multi-objective, multidisciplinary design of a rocket-powered, two-stage launch vehicle optimised for the ascent to ...stage using a winged spaceplane design, with an expendable upper stage with ... See full document

... optimum solution of zero-one nonlinear programming (0-1 NP) problem which we call it Parametric Linearization Approach ...By using this approach the problem is transformed to a sequence of linear ... See full document

... It is observed that the result obtained in this paper is very close to those obtained using trapezoidal membership function ( as in [13]) and those using hyperbolic membership function (as in [14]) in the ... See full document