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Multihead weighing processes are considered an important strategy in packaging companies. Multihead weighers are used for dosing a wide range of products, from granules to large products. The packaging process consists of choosing a subset of hoppers in the multihead weigher to form a product package. This paper proposes a set of filling strategies of hoppers to reduce the variability in the weight of the produced packages. The strategies are evaluated through a bi-objective optimization approach which aims to minimize the absolute difference between the target weight and the actual weight of the packages, while trying to maximize the selection of those hoppers with more time in the packaging system. In the bi-objective approach, the considered objectives are dynamically adjusted and managed in each packaging operation. In addition, the mathematical model and the packing algorithm are developed and presented. The results of the process performance parameters are obtained and analyzed to show the effectiveness of the proposed strategies. Also, conditions of minimum variability are identified and those can be used by the packaging industry where multihead weighers are used. [ABSTRACT FROM AUTHOR]

This paper is devoted to the analysis of the estimation of the proportion of a sensitive variable. The use of a randomized response (rr) procedure gives confidence to the interviewed that his privacy is protected. We consider that a simple random sampling with replacement design is used for selecting a sample. The behavior of the rr procedure, when ranked set sampling is the design used, is developed under three different ranking criteria. The usual gain in accuracy associated with the use of ranked set sampling is exhibited only by one of the designs. The behavior of the models is illustrated using data provided by a study of samples of persons infected with AIDS. [ABSTRACT FROM AUTHOR]

The present paper deals with estimation of population mean with more precision by incorporating the auxiliary information, as it has been recognised that incorporation of auxiliary information at design or at estimation stage or at both stages, results in more precision in estimating population parameters of interest. We have proposed the improved family of estimators by incorporating the auxiliary information of conventional and non-conventional location parameters and their linear combinations with correlation coefficient and coefficient of variation for estimating the population mean with more precision. The properties associated with the proposed estimators are assessed by mean square error and bias and compared with the classical and existing estimators. By this comparison we found that our proposed estimators are more efficient than the classical and existing estimators. Numerical illustration is also given in support of the theoretical results. [ABSTRACT FROM AUTHOR]

The International Center for Settlement of Investment Disputes (ICSID) is an organization based in Washington, United States belonging to the World Bank, whose objective is the support to resolve conflicts between States. Three South American countries, Bolivia, Ecuador and Venezuela, at certain times have decided to leave this organism. This paper aims to determine the best strategy to follow for these countries to make the most convenient decision about to leave or not this organization. The solution of this problem is done by applying neutrosophic games. Game Theory is used to solve conflict situations among different parties. In this paper, neutrosophic games are non-cooperative, in normal form, two players and zero sum games. In addition, evaluations are carried out with linguistic terms associated with neutrosophic sets, where indeterminacy is part of the calculations and this is the reason for including neutrosophic sets in modeling this problem. Obviously, in a dispute there is uncertainty and also lack of information, contradictions among the parties, inconsistencies, and other phenomena which justify the use of neutrosophy. [ABSTRACT FROM AUTHOR]

This paper shows up a work developed in the county of Benguela, Republic of Angola. As case matter, it was considering the Statistical Applied discipline that it is imparting in ISCED of Benguela. To determine the present state of their empiric teachinglearning process (interviews, pedagogic tests) and statistical methods they used. This paper pretend to show how to carry out the quantitative study, applying statistical tools one variable and multivariate as the Analysis of Main Components for Categorical Data, which allowed to verify the indicators (variables) that more weight had in the valuations emitted by the students in the instruments. [ABSTRACT FROM AUTHOR]

This paper deals with the choice of dynamics in spatial simulation and modelling. In economical context, N agents choose between two technological standards according to a local assignment rule. The adoption dynamics is sequential if the choices are made one after the other; it is synchronous or partially synchronous if all or some part of the agents choose simultanously. This paper points out differences between the three dynamics, especially in their evolution. [ABSTRACT FROM AUTHOR]

This paper presents an adaptation of the Reinforcement Learning approach known as Q-Learning to solve a scheduling problem that comes from industry. The problem studied in this paper is known as the Hybrid-Flexible Flow Shop Scheduling where a variety of constraints are taken into account. These include precedence constraints, sequence dependent setup times (which can be anticipatory and non-anticipatory) along with machine lags, machine eligibility and release times. This problem mixes the features of regular Flow Shop and parallel machine problems by considering stages with several unrelated parallel machines, where stage skipping might occur, i.e., not all stages must be visited by all the jobs. This version has been proved strongly NP- hard and the objective is to determine a schedule that minimizes the maximum completion time (makespan or Cmax). The effectiveness of the proposed algorithm is empirically evaluated through several standard benchmarks problems and the solutions are compared against other high performing existing algorithm. The results shown that the proposed algorithm is very competitive for the studied problem. [ABSTRACT FROM AUTHOR]

Recently, in many papers intensity modulated radiotherapy treatment problems are studied as multi- criteria optimization problems with respect to a constant ordering cone. In these problems, the goal is to maximize the dose delivered to cancer tumor as well as to reduce side effects. However, from a practical perspective, it is more convenient to consider such problems with respect to a variable ordering structure. In this paper, we introduce an appropriate cone-valued mapping based on the goal of cancer treatment. We consider a mathematical formulation of beam intensity optimization equipped with this ordering structure. In addition, we investigate necessary optimality conditions for solutions of a vector-valued approximation problem with respect to a general ordering cone and the proposed variable ordering structure as well. Finally, we calculate in detail necessary optimality conditions for solutions of the mathematical model of beam intensity optimization in radiotherapy treatment. [ABSTRACT FROM AUTHOR]

In this paper, we present a qualitative study of the solutions of a mathematical model that is formulated to analyze the dynamical behavior of the exothermic and reversible chemical reaction SO2(g) + 1/2 O2(g)⇌SO3(g), in a catalytic fixed bed reactor, adiabatically operated, and in presence of vanadium pentoxide Vn2O5. The model is a Cauchy problem for two coupled non-linear ordinary differential equations. These equations are coupled through the sulfur dioxide SO3 conversion, the temperature of the system (chemical reaction and chemical reactor) and its characteristic physicochemical parameters. We prove that the Cauchy problem has a unique solution (system orbits) for every initial condition that belongs to the domain for the directional field of the problem. We also show that the system orbits tend asymptotically to some stationary state located on an attracting manifold, embedded on the phase plane, when the time is large enough. These theoretical results allow us to describe the dynamic of a case given in the literature, in which it is reported the value of the physicochemical parameters, temperature ranges, and the reachable conversion levels in the industry. The dynamical behavior is as expected on the phase plane, and numerical results show that temperature changes of the system cause significantly changes in the conversion from SO2 to sulfur trioxide SO3, when time evolves. [ABSTRACT FROM AUTHOR]

This paper deals with variational inclusions of the form 0 ∊ f(x) + g(x) -K where f is smooth function from a reexive Banach space X into a Banach space Y, g is a Lipschitz function from X into Y and K is a nonempty closed convex cone in the space Y . We show that the previous problem can be solved by an extension of the Zincenko's method which can be seen as a perturbed Newton's method. Numerical results are given at the end of the paper. En este trabajo se tratan inclusiones variacionales de la forma 0 ∊ f(x)+g(x) - K, donde f es una función suave de un espacio de Banach reexivo X en un espacio de Banach Y, g es una función Lipschitz de X en Y, y K es un cono no vacío convexo y cerrado en el espacio Y . Se muestra que el problema anterior puede resolverse mediante una extensión del metodo de Zincenko, también visto como un método de Newton perturbado. Alnal del trabajo se muestran algunos resultados numéricos. [ABSTRACT FROM AUTHOR]

In the field of service management plays a decisive role the location of the facilities to improve the quality of services. The maximal covering location problem allows locating a known number of facilities in order to maximize the demand covered. An important aspect to take into account is the varying of demand of the nodes with respect to the time (multi-period model). In addition, each facility could be of different types. A model that takes into account the existence of different types of facilities in order to cover the demand in multi-period environments has not been found in the literature. In this paper we propose a new generalization of the dynamic maximal covering location problem where different types of facilities (with different radius of coverage) could be open in each location. In this work we used the model on case study with the objective to locate the police patrol. [ABSTRACT FROM AUTHOR]

In this paper, we have envisaged an efficient generalized family of estimators for finite population mean of the study variable in simple random sampling (SRS) utilizing information on an supplementary variable. Asymptotic properties such as bias and mean square error (MSE) of the proposed generalized family of estimators have been determined. Further, we have shown that the proposed family of estimators is more efficient than reviewed estimators in literature. In the support of the theoretical proposed work we have given numerical illustration. [ABSTRACT FROM AUTHOR]

This paper provides the optimum cost-time trade-off pairs to the manager of a trading firm, D. M. Chemicals, who deals in the trade of soap stone. The problem of the manager is to determine the quantity (in tons) of soap stone that the firm should purchase from different sellers and sell to the different buyers such that the ratio of actual cartage to standard cartage plus ratio of purchasing cost to profit is minimized provided the demand and supply conditions are satisfied keeping the reserve stocks for emergency situations. Moreover, the manager wishes to minimize the maximum time of transporting goods. The problem under consideration is modeled as a fractional plus linear fractional capacitated transportation problem with restricted flow. The data is taken from the account keeping books of the firm. The solution so obtained by using the developed algorithm is compared with the existing data. Moreover, the solution obtained is verified by a computing software Excel Solver. [ABSTRACT FROM AUTHOR]

In this paper a review on the results on randomized responses for qualitative variables is presented. It incorporates recently published papers. It tries to fulfill the lack of a review on the theme and aims completing the oeuvre of Chaudhuri, A . & R. Mukerjee. (1988), (Randomized response: theory and techniques, Marcel Dekker, New York). [ABSTRACT FROM AUTHOR]

This paper covers an important part of linear programming branch of Operations Research, which is Parametric Multiobjective Optimisation. It studies the following forms of linear parametric optimisation: 1. Parameter at the coefficients of the objective function. 2. Parameter at the right-hand side of the constrains. 3. Parameter at the left-hand side of the constrains. This paper also introduces a brief study of the solution of non-linear problems using penalization methods, which transforms the problem into an unconstrained non-linear optimisation one. One of the main attentions of this research is oriented towards the study of Multiobjective Optimisation Problems. The study presents three basic techniques that seem to be used often in practice. The paper presents the study of cropping pattern in the Ameriya region in winter crops. We were interested in investigating the problem of the planning production, of examining the process of allocating land on agriculture activities and determining the optimal cropping patterns to achieve maximum in the income, and minima of irrigation water, use of fertilizers and number of workers. [ABSTRACT FROM AUTHOR]

The placement of convex objects in the plane, specially rectangular objects has been studied extensively in the literature and its applications to VLSI designs, the steel industry (stock cutting). The placement of non convex objects and its application in many design and textile industries, specially the textile industry has been less studied. Mathematical Approaches determining and adequate solution of such problems include linear programming and the newest genetic algorithms. In this paper we consider a particular industrial problem, the design of printing sheets for decorative porcelain. These objects permit inclusions and other geometric situations which do not appear in the case of convex objects. In this paper we proof results related with this problem for different algorithms: a heuristic algorithm, simulated annealing algorithm and a genetic algorithm. [ABSTRACT FROM AUTHOR]

This paper deals with a two-level supply chain comprising of single manufacturer and single retailer who sells multi-items. The units in inventory of each period are subject to deterioration at a constant rate. The manufacturer has finite production capacity and manufacturing proportional to the demand rate. The manufacturer offers credit period to the retailer. Price sensitive quadratic demand is debated here which is suitable for the items whose demand increase initially and after some time it starts to decrease. Here, comparison between independent and joint decision is studied regarding their decision variables and average profits. The classical optimization is used to optimize the total profit of the supply chain with respect to selling price and cycle time. The model is supported with numerical examples and also established best scenario and best policy of the model. Sensitivity analysis is done to deduce managerial insights. It is observed that the players are encouraged to join hand to hand to run a business by joint decisions. [ABSTRACT FROM AUTHOR]

In this paper, we suggest an improved form of exponential ratio and product estimators using ranked set sampling (RSS) in order to estimate the population mean ... of study variate Y using auxiliary variate X. The mean-squared error (MSE) of the proposed class of estimators is obtained. To judge the merits of the suggested estimators over others a simulation study has been carried out. [ABSTRACT FROM AUTHOR]

Tourists plan trips based on their personal preferences and the point of interest information at destination. This paper propose the formulation of optimization problem for their multi-day planning sightseeing where the preferences of the tourists on the points of interest and travel time constraints are fuzzy. The soft computing methodology proposed to solve the problem integrates fuzzy optimization methods with a constructive metaheuristic. Computational results on instances from the team orienteering problem benchmarks are analyzed. [ABSTRACT FROM AUTHOR]

This paper describes a hypothetical simulation model developed in ProModel ® for a call center inbound calls type. Which includes the choice by users of the service type required as television, phone or internet, or if the service is a home or business level, and the possibility to select from options to request information of the services offered by the company, making a complaint or report of a technical failure in the contracted service. Based on secondary information collected, input distributions are specified for the simulation of the random behavior of the phenomenon and conducting experimental runs under a 2k design. The proposed design allows evaluating different scenarios that include factors associated with the ability of operators such as work experience, education and the type of training, and technical factors such as the number of phone assistance lines. Next, the effects of the studied factors on service rates and abandonment rates and on the average time spent in the system are evaluated, leading to identify system configurations that have higher performance. [ABSTRACT FROM AUTHOR]

In this paper three new algorithms for the random generation of permutations of degree n are shown, two of them for the Symmetric group Sn and one for the Alternating group An, in such a way, that they are mainly carried out by means of the operation of additions mod no mod i, i = n.2. [ABSTRACT FROM AUTHOR]

We study a two phase queuing system model where arrivals come to the system in batches of variable size following a compound Poisson process. We consider that service is provided in two phases, the first service is essential and second service is optional. Service becomes unavailable when the server goes for vacation and customers may decide to renege. We treat reneging in this paper when service is unavailable as the server is on vacation. We obtain steady state results in terms of probability generating function. Some special cases are discussed and a numerical illustration is provided. [ABSTRACT FROM AUTHOR]

In this paper CUSUM control charts for zero-truncated negative binomial distribution (ZTNBD) and zero-truncated geometric distribution (ZTGD) are constructed. Average run length (ARL) is studied for different values of the parameters of both the distributions. The method of Johnson (1961) is used for constructing the CUSUM chart. [ABSTRACT FROM AUTHOR]

In this paper different modified ratio and product type estimators are considered. Their biases and mean square errors are compared and necessary conditions are derived Further, numerical illustrations are provided with the help of some natural population to compare their biases and efficiencies. [ABSTRACT FROM AUTHOR]

The lifetimes of machine components in industrial reliability are considered failure times. For example, ball bearings are tested under cycles of different stresses and failure time is the number of cycles to failure. Failure time have the complicating feature of containing 'censored' observations. A right censored failure time for a ball bearing might arise if the ball bearing is still in operation at the end of the time period set aside for observation. A left-censored observation is one in which the unit is known only to have failed prior to some time. Meanwhile social scientists and economists are facing similar problems in analyzing data on the export development process of firms. In this case, 'failure time' is the length of time between the birth of the firm and the year of its first export (pre-export stage). If the firm has not exported yet (has not 'failed') at the end of the observation period, it will be referred as a right-censored observation. If the firm has already exported at the beginning of the observation period and the date of its first export is unknown, it will be referred as a left-censored observation. The object of the present paper is to fit a mathematical model to the export development process of Spanish manufacturing firms using reliability applications. [ABSTRACT FROM AUTHOR]

Modernity brings with it many challenges, competitiveness, productivity, save resources, profits, environmental impact and effective utilization of human resources among others, requiring the company decision-making models based on statistical - mathematical and computing. In this paper multicriterial mathematical models are developed for the selection of energy sources for rural population so as to save resources, are satisfied with the applications needed and decrease the damage to the environment. Among the objectives of the proposed multicriteria model are the productive, economic, the social and ecological among others. Presents an application of a model in the selection Multicriteria Energy Case Study in a real rural population and compared with modeling results unicriterial. [ABSTRACT FROM AUTHOR]

A key objective of any distributor or producer / distributor either a traditional or ebussines.com company is to achieve efficient distribution. Understood like efficient, to serve to customer with: the required quality, at the appointed time and at the lowest differentiation, which allows companies to stay in the competition. This last feature reveals the character multicriterio of distribution: on the one hand are the interests of the producer / distributor and the other the interests of clients, these criteria are usually in conflict. In the present paper shows the solution of Vehicle Routing Problem with multi-criteria approach using different methods in multicriteria discrete spaces in order to compare the results obtained by each of them and determine if there are significant differences between these, considering various factors such as talkative preference, evaluation of alternatives for each criterion depending on the method, facilities for implementation, among others. [ABSTRACT FROM AUTHOR]

This paper presents a methodology to adjust and integrate numerically very oscillating functions, even with a discontinuity, using a vectorial supervised artificial neural network (RNASV), which consists of three layers: one input, one output and one hidden learning layer, in which the activation function is an array. It is proposed to adjust very oscillating functions f (x) as a linear combination of cosine functions f (x) = Σn. [ABSTRACT FROM AUTHOR]

This is a continuation of the earlier work of Matsumoto and Szidarovszky (2010A) that compares Bertrand and Cournot equilibria in a differentiated n-firm oligopoly from static and dynamic points of view. It is, among others, found that both equilibria can be locally unstable if the firms naively forms expectations and the number of the firms are strictly more than three. The main purpose of this paper provides economic circumstances under which such unstable equilibria can be stabilized. Three main results have been shown. First, the equilibria can be locally stable if the dynamic system with adaptive expectations or the dynamic system with adaptive adjustments is adopted. Second, these two dynamic systems are equivalent as far as the local stability is concerned. Third, the total output under the dynamic system with naive expectations exhibits a period-2 cycle. [ABSTRACT FROM AUTHOR]

In an EOQ model it is tacitly assumed that the 100% items in a lot are of perfect quality. This is possible only under very idealistic situation but practically this assumption may not be true. Thus, the inspection of lot becomes indispensable in all public and private sector organizations. Moreover, it plays a very significant role when the products are of deteriorating in nature. In this paper an attempt has been made to formulate an inventory model for deteriorating items with imperfect quality. The inspection/screening rate is assumed to be more than the demand. This assumption helps one to fulfill the demand, out of the products which are found to be of perfect quality, along with the screening process. A hypothetical example is considered to validate the model and results are obtained using Matlab7.0.1. Comprehensive sensitivity analysis has also been presented. [ABSTRACT FROM AUTHOR]

This paper considers the use of multilevel models in a demography research. Several recommendations related to the applications and interpretations of the multilevel models are discussed, also describes the main characteristics as well as the assumptions in each model. Attention focuses on the potential of the multilevel approach to explain the possible contextual effects in relation to individual factors and its flexibility to incorporate more integrals strategies. It is concluded that multilevel models are a powerful tool to the analysis of demographic data, particularly studies of migratory movements. [ABSTRACT FROM AUTHOR]

The Clean Development Mechanism (CDM) is a project based mechanism introduced by the Kyoto protocol (1997). Among other unsettled issues pertaining to CDM, this paper explores a dynamic implication of CDM baseline. A continuous time dynamic duopoly model of an incumbent firm and an entrant firm is constructed. We show that CDM baseline plays an important role when the incumbent (leader) and the entrant (follower) choose their timing of CDM project investments. Because of the baseline, the entrant's investment with higher technological potential gets postponed, while the incumbent invests earlier than otherwise. [ABSTRACT FROM AUTHOR]

This paper considers a simple supply chain in which a single supplier sells to several downstream retailers and he may distinguish various retailers' demand by giving more importance to satisfying some categories of demand than others. The supplier has limited capacity. If the retailer orders exceed available capacity, the supplier allocates capacity using publicly known mechanism. After allocation if the supplier is left with inventory he can reallocate the demand. An algorithm has been developed for reallocation of demand using different allocation mechanism. It has been shown numerically, how reallocation mechanism can benefit the retailers as well as supplier causing higher supply chain profits. Further, we have tried to evaluate whether a retailer should use truth-inducing mechanism or he should use manipulable mechanism to increase his profit. [ABSTRACT FROM AUTHOR]

Composite indicators capable of summarizing a large and complex information such as the one in the well-being field, has become a tool with a great potential for the evaluation and management of public policies. Given the limitations in the construction of well-being indicators which include a gender perspective, this paper proposes the use of a new methodology for constructing a measurement. We propose new linear programming models to improve the traditional DEA models. For the practical implementation of this proposal we take the countries of the European Union as an example. [ABSTRACT FROM AUTHOR]

This paper introduces a general class of Inclusion Probability Proportional to Size (IPPS) sampling schemes for selecting two units from a finite population. All IPPS sampling schemes, identified as particular members of this class, possess some desirable properties with regard to the inclusion probabilities, and provide unbiased and non-negative variance estimators under Horvitz-Thomson (HT) model. [ABSTRACT FROM AUTHOR]

Because actions that contribute to mitigate climate change are important, this paper presents a tool to estimate the cost of carbon sequestration in soils. The situation is modeled as a bi-objective optimization problem (minimizing the cost of carbon sequestration and maximizing the carbon absorption). The Ant Colony heuristic technique is applied to solve the problem, using the methodology proposed by Iredi (2001) to calculate the probability that an ant moves from node i to node j. The data of the estimation of carbon sequestration in the coffee plant, in six municipalities of the Sierra Norte of Puebla, was provided by the Department of Agricultural Research (DICA- ICUAP). We also used the information published by the National Institute of Statistics, Geography and Informatics (INEGI) about the costs of irrigation and labor coffee in those municipalities. Because the data of the six municipalities, provided by DICA was not enough to generate the Pareto frontier, we developed a generator of artificial instances, in order to test the proposed algorithm. The evidence suggested that the parameters α and β are particularly important to calculate the probability that an ant moves from node i to node j, and the Pareto frontier, can be obtained with a number of iterations equal to 50% of the number of ants and a number of municipalities equal to ten. As results, we present the estimated costs of carbon sequestration per ton. [ABSTRACT FROM AUTHOR]

One of the difficulties students from basic courses often show in learning probability and statistics at the university is understanding how the continuous normal probability distribution approximates the discrete binomial probability distribution. In this paper a didactic proposal is presented consisting in two algorithms, very easy to use, developed with software R which is completely free. These algorithms aim to introduce students in basic concepts of normal approximation to the binomial distribution by means of graphical representations and tables. They allow an active participation of student in the learning process. [ABSTRACT FROM AUTHOR]

In this paper, an attempt is made to characterize the inventory model for deteriorating items in declining market when the supplier offers a permissible delay in payments to the retailer to settle the account against the purchases. The algorithm is exhibited for a retailer to determine the optimal procurement quantity which minimizes the total inventory cost per time unit. A numerical example is given to demonstrate the flow of the optimal decision for the retailer. The sensitivity is carried out to analyse the changes in the optimal solution with respect to deterioration rate of units in inventory and the rate of change of demand. [ABSTRACT FROM AUTHOR]

The majority of the developments in a classic problem of competing risks have consisted in, based on the assumption of independence between all event types, make estimations to several rates. In this paper, we propose an adjusted Life-Table estimator in the context of non-independent competing risks. We proof that the proposed estimator is maximum pseudo-likelihood. We compare the adjusted and classic estimators by simulation study. It confirmed that de adjusted estimator provides closer estimations to the real rate than the classic estimator. [ABSTRACT FROM AUTHOR]

The Cuban forests have suffered an indiscriminate exploitation in the past. In spite of the efforts carried out with the reforestation plans and the establishment of plantations, the structure for ages of these plantations are unbalanced. It is difficult to make a stable flow of goods and services. In this paper the evolution of a model of forest planning based on multiple approaches is presented. It was applied to a plantation of Pinus caribaea of the Integral Forest Enterprice of "Pinar del Río" in Cuba, with the main goal of achieving a balanced structure of ages at the end of the planning horizon in order to guarantee a stability in the flow of goods and services taking into account the area restrictions and the general amount and management. The model goes from a Linear Lexicographical Goal Programming Model to a Linear Fractional Goal Programming Model. Their objectives have been in progress in the attainment of a structure of ages in balance until the stabilization of the net carbon fixed by the plantation. It is one of the functions of the forests like possible regulators of the climate. The models I and II detailed can be consulted in the references. In these work we will refer to the main proposed objectives and the results obtained in each of them and we will formalize the third modelización that includes the captured carbon. [ABSTRACT FROM AUTHOR]

In the modern life, competence, productive development and profitability make possible every day for an enterprise to look for the best decision takings by means of statistics, mathematical modeling and computation taking into account environment and its relationship with production. In this paper it is shown a new scope of mathematical modeling and the multiobjective optimization for satisfying production problems and contributing to the environment and society as a whole. Its objective is to give a new scope of multicriteria modeling following traditional objectives of production optimization, profits, costs and others which would include new economic, social and ecological objectives in a way that they not only reach direct objectives in the entity but indirect ones for society. Is given an application of the multicriterial modeling in selected energy in a rural population. [ABSTRACT FROM AUTHOR]

Controlling the distribution of points on parametric curves is a very important problem in CAGD and related areas. In this paper we present three different applications, where the solution of the previous problem is crucial. Two algorithms for generating points on regular parametric curves are used in the applications. In the first application, we show how to generate points with control of their distribution on a 3D parametric curve. In the second one, the generation of points on the boundary of a planar grid is considered. Finally, we address the problem of reconstructing surfaces from cross sections and show that the distribution of points on the boundary curve of each cross section, has an strong influence in the quality of the reconstructed surface. [ABSTRACT FROM AUTHOR]

A new method to solve the branching problem in surfaces of three-dimensional (3D) models reconstructed from parallel cross sections is presented in this paper. This is an important problem in medical imaging and others object-modeling applications, where the reconstruction of the surface of 3D models from images that represent a set of parallel planes is of interest. The proposed method is based on the skeletonization technique to create new contours, corresponding to an artificial intermediate slice that models the level where branching occurs. Some experimental results of the application of the proposed method to solve the branching problem on synthetic complex examples and actual medical imaging data are showed. [ABSTRACT FROM AUTHOR]

In many applications the importance of evaluating the consensus is growing. This is particularly important in many biomedical studies where the role of the experts is crucial. That is the case when the efficacy of treatments, the classification of patients, the quality of the biosphere in certain places or tests is studied. This paper is devoted to the development of a review of the κ index, indexes deduced or deducible from it as particular cases under certain models. Properties of them for different models are discussed. The models support parametric inferences or provide a statistical frame for analyzing the consensus in the classification among experts. Different examples are developed with illustrating purposes. [ABSTRACT FROM AUTHOR]

In this paper we analyze the yields of a queue management policy in a commuter of a network, which receives two classes of traffic with different requisites of quality with respect to retards and losses. We prove how the state probabilities of the system can be obtained recursively and from the mean retards of arrivals of both traffic classes as well as their loss rates. These quantities are linked with the calculus of the yields of the system by means of the objective function that represents a weighting of the associated cost produced by the retards produced by the priority traffic (in real time) and the losses originated by the non prioritary traffic (in non real time). [ABSTRACT FROM AUTHOR]

In this paper, we compare, from a theoretical and a practical viewpoint, two settings of a certain tax-programming problem and the algorithms proposed for solving it. This problem may be modeled as a parametric quadratic-programming problem having lower and upper bounds on the variables. The objective function is a quadratic function whose Hessian matrix is diagonal and positive. A term is added that penalizes not to achieving a certain goal. This penalization can be formulated either as an absolute or as a quadratic deviation. [ABSTRACT FROM AUTHOR]

In the last 10 years we have been working on large scale academic organization problems. For the university we have worked on exam scheduling, student assignment to sections, course scheduling and a process of student self-registration. The developed algorithms are quite complex and are based on different techniques, but for all of them the Tabu Search procedures have been the essential tool for obtaining good solutions. In this paper we describe the common elements and the special characteristics of these algorithms. [ABSTRACT FROM AUTHOR]