Programação de horários usando um algoritmo genético especializado

Pós-graduação em Engenharia Elétrica - FEIS

Psicogênese da Noção de Violência: um estudo evolutivo a partir da perspectiva piagetiana

The paper presents part of an evolutionary study regarding the ideas of children and adolescents on urban violence. The study included 40 subjects aged between 6 and 15; consisting of 10 subjects aged 6; 10 aged 9; 10 aged 12; and 10 aged 15. All subjects were enrolled in two public schools, one located in the interior of São Paulo’s State and the other in greater São Paulo. The subjects underwent three methodological procedures: a clinical interview, the drawing of a picture, and the analysis of a movie. In this paper, we present the data obtained from the application of the clinical interview, specifically those concerning the main theme: “definition of violence.” The results indicate that most subjects have difficulties in understanding and defining the phenomenon of violence and its complexity. They tend to associate it only to the most visible and concrete situations or conflicts, focusing on a basic level of understanding of the social reality. The analysis and the theoretical references are based on the Piagetian perspective about the construction of social knowledge. Pedagogical implications based on the evolutionary psychogenic studies as well as the understanding of the processes covered for the understanding of social reality are also presented in the article.

Não aprender na visão de crianças e adolescentes brasileiros: um estudo evolutivo na perspectiva piagetiana

This article aims to present dada from a research about the construction of social knowledge under the Piagetian perspective. Beliefs of children and adolescents about not to learn were investigated. 80 individuals aged 6 to 16 years participated of this study. They had to answer to three methodological tools: a drawing, the analysis of a history and the analysis of a film which involved situations of not learning. It will be presented here the main results of the drawing task. Among other results, data indicate that a significant part of the participants blame the students themselves for not learning, by factors such as indiscipline and lack of motivation. Results also show that Brazilian individuals are not in advanced levels of understanding of social reality, even at older ages.

Aprender e não aprender por quem não aprende: um estudo evolutivo psicogenético

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Diagnóstico de distúrbios de tensão em sistemas de distribuição de energia elétrica usando um algoritmo imuno-neural

Pós-graduação em Engenharia Elétrica - FEIS

Software baseado em rede neural artificial desenvolvido por meio de algoritmo genético para a classificação morfológica de blastocistos bovinos

Pós-graduação em Biociências - FCLAS

Um algoritmo de busca tabu para problemas de localização não capacitados

In this work, a tabu search algorithm for solving uncapacitated location problems is presented. The uncapacitated location problem is a classic problem of localization and occurs in many practical situations. The problem consists in determining in a network, at the minimum possible cost, the better localization, in a network, for the installation of facilities in order to attend the customers' associated demands, at the minimum possible cost. One admits that there exists a cost associated with the opening of a facility and a cost of attendance of each customer by any open facilities. In the particular case of the uncapacitated location problem there is no capacity limitation to attend the customers’ demands. There are some parameters in the algorithm that influence the solution’s quality. These parameters were tested and optimal values for them were obtained. The results show that the proposed algorithm is able to find the optimal solution for all small tested problems keeping the compromise between solution’s quality and computational time. However, to solve bigger problems, the structure of the algorithm must be changed in its structure. The implemented algorithm is integrated to a computational platform for solution of logistic problems

Algoritmo de resolução de EDO de primeira ordem com implementação em HTML

This work presents a theoretical study of ordinary differential equations of first order directed so as to provide basis for the development of an educational software that helps students and researchers confronted with this issue. The algorithm was developed in HTML language in to that the results provide a website that allows the audience to access the software anywhere which has internet connection

Implementação do algoritmo de Newman para identificação de comunidades em placas gráficas

Communities are present on physical, chemical and biological systems and their identification is fundamental for the comprehension of the behavior of these systems. Recently, available data related to complex networks have grown exponentially, demanding more computational power. The Graphical Processing Unit (GPU) is a cost effective alternative suitable for this purpose. We investigate the convenience of this for network science by proposing a GPU based implementation of Newman community detection algorithm. We showed that the processing time of matrix multiplications of GPUs grow slower than CPUs in relation to the matrix size. It was proven, thus, that GPU processing power is a viable solution for community dentification simulation that demand high computational power. Our implementation was tested on an integrated biological network for the bacterium Escherichia coli

Aplicação do algoritmo Rough Sets em um Data Warehouse

This Project aims to develop methods for data classification in a Data Warehouse for decision-making purposes. We also have as another goal the reduction of an attribute set in a Data Warehouse, in which a given reduced set is capable of keeping the same properties of the original one. Once we achieve a reduced set, we have a smaller computational cost of processing, we are able to identify non-relevant attributes to certain kinds of situations, and finally we are also able to recognize patterns in the database that will help us to take decisions. In order to achieve these main objectives, it will be implemented the Rough Sets algorithm. We chose PostgreSQL as our data base management system due to its efficiency, consolidation and finally, it’s an open-source system (free distribution)

Uma proposta de resolução para problemas de roteirização de veículos baseada no algoritmo genético

The vehicle routing problem is to nd a better route to meet a set of customers who are geographically dispersed using vehicles that are a central repository to which they return after serving customers. These customers have a demand that must be met. Such problems have a wide practical application among them we can mention: school transport, distribution of newspapers, garbage collection, among others. Because it is a classic problem as NP-hard, these problems have aroused interest in the search for viable methods of resolution. In this paper we use the Genetic Algorithm as a resolution

Busca quântica de dados XML usando algoritmo de Grover

This paper presents a quantum search algorithm implementation with small modifications. The algorithm idea is to be hybrid, capable to run on classical systems and quantum systems. We present the concepts of quantum search and introduced a pseudo-framework able to generate code for classical computers (C++) and quantum computers (QCL). The algorithms were submitted to simulations, which resulted in a comparative study of the operation of Grover’s algorithm on both systems, carrying out searches in a mass of data in XML format files. As a result, we see very similar numbers between classical and quantum systems, this creates an expectation that the search in real quantum computers is much more efficient.

Análise citogenética clássica, molecular e ultraestrutural em escorpiões da família Buthidae: um enfoque evolutivo

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Algoritmo híbrido neural-imuno aplicado ao diagnóstico de distúrbios de tensão em sistemas de distribuição de energia elétrica

Pós-graduação em Engenharia Elétrica - FEIS