Stenio Soares

Federal University of Juiz de Fora · Departamento de Ciência da Computação

Cargo transportation can be very challenging in big cities due to congestion, pollution, and the prohibition of circulation at certain times of the day. Many transportation models can help to improve these issues. An example is the Two-Echelon Electric Vehicle Routing Problem with Time Windows (2E-EVRP-TW), which combines Electric Vehicles (EVs) wi...

The optimization of the number of transistors of combinational logic circuits can lead to faster and cheaper electronic devices, but it is an NP-complete problem. There are deterministic algorithms for this task, but their effectiveness is limited to small problems. Thus, the use of metaheuristics is suitable and Cartesian Genetic Programming (CGP)...

Layout problems are the physical arrangement of facilities along a given area commonly used in practice. The Corridor Allocation Problem (CAP) is a class of layout problems in which no overlapping of rooms is allowed, no empty spaces are allowed between the rooms, and the two first facilities (one on each side) are placed on zero abscissa. This com...

Ontology matching has become one of the main research topics to address problems related to semantic interoperability on the web. The main goal is to find ways to make different ontologies interoperable. Due to the high heterogeneity in the knowledge representation of each ontology, several matchers are proposed in the literature, each seeking to c...

Every year, new ontology matching approaches have been published to address the heterogeneity problem in ontologies. It is well known that no one is able to stand out from others in all aspects. An ontology meta-matcher combines different alignment techniques to explore various aspects of heterogeneity to avoid the alignment performance being restr...

Ontology matching has become a key issue to solve problems of semantic heterogeneity. Several researchers propose diverse techniques that can be used in distinct scenarios. Ontology meta-matching approaches are a specialization of ontology matching and have achieved good results in pairs of ontologies with different types of heterogeneities. Howeve...

Ontologies have emerged to establish a well-defined meaning for information, solving problems of heterogeneity in data semantics and facilitating the process of information exchange. However, ontologies have generated a new semantic problem, since using more than one ontology can generate ambiguity in the meaning of a given data. The problem of ont...

O presente trabalho apresenta o uso de técnicas de Mineração de Dados com foco na identificação de desigualdades sociais a partir da análise do desempenho dos estudantes concluintes do ensino médio que prestaram o Exame Nacional do Ensino Médio - ENEM no ano 2019. O uso de algoritmos de Clusterização e de Regras de Associação permitiu mapear as var...

O problema do Sequenciamento Curricular Adaptativo (SCA) vem sendo tratado na literatura com abordagens meta-heurísticas e com técnicas que o reduz a um problema de otimização mono-objetivo. Os objetivos utilizados são, em sua maioria, conflitantes, ou seja, uma melhora em um desses objetivos não resulta, necessariamente, na melhora dos demais. Ass...

The design of digital logic circuits involves transforming logical expressions into an electronic circuit seeking to minimize certain attributes such as the number of transistors. There are deterministic algorithms for this task, but they are limited to small problems. On the other hand metaheuristics can be used for solving this type of problem an...

This chapter presents a general analysis of multilevel optimization problems involving electric vehicles. It initially presents models commonly found in the literature for multilevel optimization problems, as well as details regarding the objectives and constraints involved in multilevel models. Most of them are bi‐level optimization problems and i...

The environmental impacts of human action have led several countries to create stricter laws and tax breaks to reduce this damage. Thereby, the Green Logistic has been increasingly sought to meet the requirements and needs for a more sustainable development. This work presents an ILS (Iterated Local Search) algorithm combined with RVND (Random Vari...

Every year, several new ontology matchers are proposed in the literature, each one using a different heuristic, which implies in different performances according to the characteristics of the ontologies. An ontology meta- matcher consists of an algorithm that combines several approaches in order to obtain better results in different scenarios. To a...

Clustering, also known as unsupervised classification, is a process by which a data set is partitioned into different clusters such that objects of the same cluster are as similar as possible and objects of different clusters are as dissimilar as possible. In clustering algorithms, it is usually assumed that the number of clusters is known or given...

Clustering is the process by which discrete objects can be assigned to groups or clusters which have similar characteristics. In clustering algorithms, it is usually assumed that the number of clusters is known or given. In the absence of such an information, a procedure is needed to find the optimal number of clusters. This problem is known as Aut...