Alejandro Rosete-Suárez

Alejandro Rosete-Suárez
Universidad Tecnológica de la Habana, José Antonio Echeverría | Cujae · Departamento de Inteligencia Artificial e Infraestructura de Sistemas Informáticos

PhD

About

199
Publications
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709
Citations
Citations since 2017
62 Research Items
458 Citations
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Introduction
Alejandro Rosete-Suárez currently works at the Departamento de Inteligencia Artificial e Infraestructura de Sistemas Informáticos, Universidad Tecnológica de La Habana "José Antonio Echeverría" (Cujae). The main research interests are Optimization, Metaheuristics, Artificial Intelligence, Fuzzy Logic, and Data Mining. Particularly, he is now focused on Rank aggregation and in the relationship between Fuzzy Logic and Optimization.
Additional affiliations
September 1993 - present
September 1993 - present
Universidad Tecnológica de la Habana, José Antonio Echeverría
Position
  • Professor (Full)
Education
September 1988 - July 1993

Publications

Publications (199)
Chapter
Sign language translation (SLT) is an active field of study that encompasses human-computer interaction, computer vision, natural language processing and machine learning. Progress on this field could lead to higher levels of integration of deaf people. This paper presents, to the best of our knowledge, the first continuous Argentinian Sign Languag...
Preprint
Sign language translation (SLT) is an active field of study that encompasses human-computer interaction, computer vision, natural language processing and machine learning. Progress on this field could lead to higher levels of integration of deaf people. This paper presents, to the best of our knowledge, the first continuous Argentinian Sign Languag...
Article
The paper addresses the Multi-Depot Vehicle Routing Problem (MDVRP) motivated by its practical relevance and considerable difficulty. Specifically, the work focuses on the assignment of customers to depots, one of the phases carried out to solve the MDVRP. Many authors have tackled this problem, and there are different heuristics to perform this ta...
Article
Full-text available
Combinatorial optimization problems allow for modeling multiple situations in which proper allocation of resources is needed. For some real-world problems, the use of fuzzy elements in the models allows for incorporating certain levels of uncertainty to better approximate such real-world situations. One way to solve combinatorial optimization probl...
Article
The Berth Allocation Problem (BAP) is an important seaside problem in port logistics, which involves the determination of berthing times and positions of arriving vessels in a wharf. Most studies have considered that vessels arrival and handling times are known fixed quantities available to wharves operators beforehand. However, due to many uncontr...
Article
Full-text available
Several real-life optimization problems, such as the case of several instances of the School Bus Routing Problem (SBRP), are very complex and expensive to solve with exact algorithms. Metaheuristics are a good alternative in these situations because they are capable of generating good quality solutions to these problems in a reasonable time. Metahe...
Article
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Compact heat exchangers are devices responsible for transmitting heat between two fluids that are at different temperatures. These constitute an essential component in many of the processes that facilitate daily life. This paper presents a numerical study of compact heat exchangers with circular tubes and louver fins that use vortex generators. The...
Article
Full-text available
El problema de agregación de rankings (RAP, por sus siglas en inglés) busca encontrar un ranking que resuma un conjunto de ellos. Actualmente, el razonamiento sobre la base de ordenamientos o rankings ha ganado atención debido al gran número de aplicaciones para solucionar problemas de toma de decisiones y más recientemente, en informática, estadís...
Article
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The maximal coverage location problem has been widely used in contexts where it is necessary to locate facilities to provide a service. This problem seeks to locate a limited number of facilities to maximize the covered demand. Commonly facilities are modeled with unlimited capacity, but this is not realistic, and in many situations, facilities hav...
Chapter
Location problems have been highly studied in the field of logistics. A classic location model is the maximal covering location problem (MCLP), which attempts to locate a limited number of facilities in order to maximize the overall covered demand. The dynamic MCLP (DMCLP) is a well-known generalization where the facilities are located in several p...
Chapter
Nowadays team formation has become a very active research topic and it is recognized as a key process for the success of organizations. This article describes a model for multiple team formation that, unlike existing models, it integrates a diversity of factors, both individual and collective and therefore it can be used in various contexts. The mo...
Chapter
Health is an extremely important aspect in the United Nations Sustainable Development Goals because there is not possible progress for humankind without it. The Covid19 pandemic has evidenced to what extent society can be affected in all its facets when suddenly a phenomenon affects human's health. In this chapter, it is analyzed how computational...
Chapter
In 2015 the United Nations Organization approved the Agenda for Sustainable Development. This agenda defines the Sustainable Development Goals, including Good Health and Well-being, Reduced Inequalities, and Responsible Consumption and Production. The present research introduces a new model for the School Bus Routing Problem (SBRP) to have a direct...
Article
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La mayoría de las situaciones que involucran una cadena de distribución pueden ser modeladas como el Problema de Ruteo de Vehículos. En los últimos años las tiendas virtuales han ganado popularidad en Cuba, destacandose la plataforma TuEnvio. Actualmente, la plataforma carece de un sistema que le permita la obtencion de rutas optimas para la entreg...
Article
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La Serie Nacional de Béisbol de Cuba es un evento deportivo que consume una gran cantidad de combustible. Disminuir el costo de transportación es uno de los principales objetivos del país debido a las largas distancias a recorrer en el transporte de los equipos. Este trabajo propone un método computacional para la generación de calendarios para la...
Article
The research addresses a fuzzy variant of the Variable Cost and Size Bin Packing Problem where an overload of the bins is allowed. The level of overload is defined by alpha-cuts or membership values which generates crisp instances that conform the fuzzy problem. The empirical sampling of the alpha-cuts has the problem that every single crisp instan...
Article
Combinatory theory is essential to computer science. In order to alleviate the difficulties that students present when they solve combinatorial problems, in the discrete mathematical of computer science, a group of didactic procedures is presented aimed at training learners in the identification of combinatorial exercise models and the formulation...
Article
Full-text available
Contexto: Los problemas de optimización permiten representar situaciones de la vida real, y con un método apropiado se puede llegar a una buena solución del problema. Conceptualmente, este problema se conoce como el problema de planificación de ruta de autobuses escolares. El presente trabajo puede ser tomado como punto de partida para la creación...
Article
Full-text available
The School Bus Routing Problem is a type of Vehicle Routing Problem that aims to optimize the planning of bus routes for a school. This problem has received increased interest in the last decade. One of the aspects that stand out most in the progress of optimization problems is making them as close to reality as possible. In this sense, fuzzy optim...
Article
Full-text available
The Variable Cost and Size Bin Packing Problem (VCSBPP) is a known NP-Hard problem that consists in minimizing the cost of all bins used to pack a set of items. There are many real-life applications of the VCSBPP where the focus is to improve the efficiency of the solution method. In spite of the existence of fuzzy approaches to adapt other optimiz...
Article
The Optimal Bucket Order Problem (OBOP) is a rank aggregation problem which consists in finding a consensus ranking (with ties) that generalizes a set of input rankings. In this paper, with the aim of solving the OBOP in an efficient and scalable way, we propose several greedy algorithms based on different sort-first and cluster-second strategies....
Article
Full-text available
En muchos problemas de la vida, se conoce la forma de un modelo matemático que lo describe, por medio de expresiones con parámetros que deben ser ajustados a cada situación concreta. El ajuste de esos modelos muchas veces implica la solución de un problema de optimización que busca los valores de los parámetros que minimizan la diferencia entre lo...
Article
Full-text available
El uso de los rankings y la forma de agregarlos o resumirlos ha recibido una atención creciente en diversos campos: bibliometría, búsquedas web, minería de datos, estadística, calidad educativa y biología computacional. Para el Problema de Ordenamiento Óptimo con empates fue introducido recientemente el concepto de Matriz Utópica: una solución idea...
Article
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El trabajo muestra las principales experiencias de los profesores de la asignatura Investigación de Operaciones en la Facultad de Ingeniería Informática de la CUJAE entre los cursos 2015-16 y 2018-19. La asignatura en estos cursos fue concebida hacia la búsqueda de un aprendizaje desarrollador por parte del estudiante, su formación como un profesio...
Article
Full-text available
El trabajo muestra las principales experiencias de los profesores de la asignatura Investigación de Operaciones en la Facultad de Ingeniería Informática de la CUJAE entre los cursos 2015-16 y 2018-19. La asignatura en estos cursos fue concebida hacia la búsqueda de un aprendizaje desarrollador por parte del estudiante, su formación como un profesio...
Article
Full-text available
The maximal covering location problem attempts to locate a limited number of facilities in order to maximize the coverage over a set of demand nodes. This problem is NP-Hard and it has been often addressed by using metaheuristics, where the execution time directly depends on the number of evaluations of the objective function. In this paper, the pr...
Chapter
Knowledge discovery from databases is a very attractive and challenging task. The elicitation of fuzzy predicates (called FuzzyPred) in conjunctive and disjunctive normal form provides a convenient and effective general way to identify and to represent certain dependencies among items in fuzzy transactions. Konstanz Information Miner (KNIME) is a s...
Article
Full-text available
La pandemia global de la COVID-19 ha afectado a todo el mundo en el año 2020. Cuba no ha escapado de este azote, a pesar de que las afectaciones han sido notablemente menores con respecto a otros países, debido a la gran prioridad que le ha puesto el país a este tema. A tono con el esfuerzo de toda la ciencia mundial para enfrentar esta pandemia, l...
Article
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Introducción. La difusión de la COVID-19 en el mundo ha provocado una avalancha de investigaciones para enfrentarla y atenuar sus efectos, a lo cual han contribuido los estudios de inteligencia artificial. Objetivos. En este trabajo se muestra cómo pueden aplicarse técnicas de inteligencia artificial, en particular de ciencias de datos y aprendizaj...
Conference Paper
The Berth Allocation (BA) problem is an important problem in port logistics. It aims at finding optimal berthing times and positions of arriving vessels in a wharf subject to physical constraints. The optimisation criteria in the BA problem are diverse and respond to specific interests of vessels and wharves operators. Furthermore, although the BA...
Article
Full-text available
Fuzzy Linear Programming (FLP) has addressed the increasing complexity of real-world decision-making problems that arise in uncertain and ever-changing environments since its introduction in the 1970s. Built upon the Fuzzy Sets theory and classical Linear Programming (LP) theory, FLP encompasses an extensive area of theoretical research and algorit...
Article
The Variable Size and Cost Bin Packing Problem consists of minimizing the cost of all the containers used to pack a set of items. In the previous works, several algorithms have been presented and studied, to solve different instances of this problem where the weights of the elements to be packed follow Uniform Distribution. The objective of this wo...
Preprint
Full-text available
The detection of overlapping communities in Social Networks has been successfully applied in several contexts. Taking into account the high computational complexity of this problem as well as the drawbacks of single-objective approaches, community detection has been recently addressed as Multi-objective Optimization Evolutionary Algorithms (MOEAs)....
Chapter
Full-text available
The detection of overlapping communities in Social Networks has been successfully applied in several contexts. Taking into account the high computational complexity of this problem as well as the drawbacks of single-objective approaches, community detection has been recently addressed as Multi-objective Optimization Evolutionary Algorithms (MOEAs)....
Chapter
The Variable Size and Cost Bin Packing Problem (VSCBPP) consists of minimizing the cost of all bins used to pack a set of items without exceeding the bins capacities. It is a well known NP-Hard problem with many practical applications. In this contribution we assume that the capacity of a bin can be understood in a flexible way (so it may allow som...
Chapter
Full-text available
Traditional linear regression analysis aims at finding a linear functional relationship between predictor and response variables based on available data of a given system, and, when this relationship is found, it is used to predict the future behaviour of the system. The difference between the observed and predicted data is supposed to be due to me...
Chapter
The availability of Wi-Fi connection points or hotspots in places such as parks, transport stations, libraries, and so on is one of the key aspects to allow people the usage of Internet resources (to study, work or meet). This is even more important in Central America and Caribbean countries where the deployment of huge cost infrastructure (like op...
Article
En el momento actual, la informatización de la gestión pública y empresarial es una necesidad y Cuba lo ha asumido así. La gestión de este proceso avanza de lo simple a lo complejo, empezando por la habilitación de infraestructuras e informaciones, para luego ir a la gestión digital de procesos, el comercio electrónico y la automatización. El objet...
Article
Full-text available
Team building is a key factor for projects success, as it is a complex task with multiple aspects. The paper proposes two methods for solving the problem of forming multiple project teams using a multiobjective solution approach. The first method assigns the project managers of all teams and then performs the conformation of each of these teams. Th...
Chapter
This article provides a new approach to localize leaks in water distribution networks (WDN). The model-based leak localization is formulated as an inverse problem solved by using optimization tools. In most approaches to leak localization currently described in the scientific literature, the performance depends on the labeling method for nodes in t...
Chapter
Several indices are available to characterize information and communications technology (ICT) aspects in different countries and regions, such as ICT Development Index, the number of Internet users, and the number of supercomputers in the TOP500 list. In this chapter we show how the flexibility and expressiveness of fuzzy logic can be used to under...
Book
The volume LNAI 12179 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2020, which was due to be held in Havana, Cuba, in June 2020. The conference was held virtually due to the COVID-19 pandemic. The 37 full papers accepted were carefully reviewed and selected from 50 submissions. The papers are grouped in th...
Article
Full-text available
FuzzyPred is an unsupervised-learning data-mining algorithm, which allows extracting fuzzy predicates in normal forms from the data. This method is used to solve a descriptive task where it is not known the kind of relationships that are to be found. The goal is to find patterns that describe the data and their relationships. Due to the large set o...
Poster
Full-text available
Resumen: A partir de un grupo de ranking generado por varios agentes sobre un conjunto de alternativas, donde cada ranking denota la preferencia de un agente sobre el conjunto de alternativas, el problema de buscar de un ranking de consenso, que minimice la distancia con respecto al grupo de rankings inicial es conocido como el Problema de Agregaci...
Article
Full-text available
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 tim...
Chapter
The problem of aggregating several rankings in order to obtain a consensus ranking that generalizes them is an active field of research with several applications. The Optimal Bucket Order Problem (OBOP) is a rank aggregation problem where the resulting ranking may be partial, i.e. ties are allowed. Several algorithms have been proposed for OBOP. Ho...
Chapter
Full-text available
Community detection is one of the most important problems in Social Network Analysis. This problem has been successfully addressed through Multi-objective optimization Evolutionary Algorithms (MOEAs); however, most of the MOEAs proposed only detect disjoint communities, although it has been shown that in most real-world networks nodes may belong to...
Article
Full-text available
La formación de equipos de proyectos de software es un problema complejo, en tanto debe considerar varios factores, como son: la asignación de las personas con las competencias apropiadas a los roles, la carga de trabajo, las incompatibilidades entre los miembros, entre otros. Este proceso es aún más complejo en organizaciones medianas y grandes te...
Article
Full-text available
Rankings are very commonly used to express preferences in music, sports, politics and other diverse fields. The Rank Aggregation Problem consists on finding the permutation that best represents a set of input rankings, by minimizing the Kendall distance. There is an Integer Linear Programming formulation for this problem that allows solving it in a...
Conference Paper
Full-text available
RESUMEN: El Problema de Agregación de Rankings (RAP) intenta obtener un ranking de consenso a partir de rankings individuales. Este problema es de gran utilidad, ya que tiene varias aplicaciones en el área tanto de la teoría de la elección social como de la informática. Esto ha llevado a que los investigadores creen nuevos métodos de selección de r...
Article
Annual journal rankings are usually considered a tool for the evaluation of research and researchers. Although they are an objective resource for such evaluation, they also present drawbacks: (a) the uncertainty about the definite position of a target journal in the corresponding annual ranking when selecting a journal, and (b) in spite of the nons...
Article
The optimal bucket order problem consists in obtaining a complete consensus ranking (ties are allowed) from a matrix of preferences (possibly obtained from a database of rankings). In this paper, we tackle this problem by using (1+λ) evolution strategies. We designed specific mutation operators which are able to modify the inner structure of the bu...
Chapter
Full-text available
The detection of communities in Social Networks has been successfully applied in several contexts. Taking into account the high computational complexity of this problem as well as the drawbacks of single-objective approaches, community detection has been recently addressed as Multi-objective Optimization Evolutionary Algorithms (MOEAs); however, mo...
Article
Full-text available
With the development of technologies, the big volume of databases and the need to obtain useful knowledge of them, data mining becomes a strategic tool for companies, which support the decision making. A cuban company, created in 1991, whose name is not mentioned for reasons of confidentiality, which is distinguished as a provider of comprehensive...
Article
Full-text available
Resumen El acelerado desarrollo en las distintas ramas de la ciencia y la ingeniería, exigen el diseño de novedosas técnicas de computación que permitan el procesamiento de grandes cantidades de datos, reduciendo los tiempos de respuesta y posibilitando el tratamiento de problemas complejos. FuzzyPred es un método de minería de datos que permite ob...
Article
This paper deals with group decision making and, in particular, with rank aggregation, which is the problem of aggregating individual preferences (rankings) in order to obtain a consensus ranking. Although this consensus ranking is usually a permutation of all the ranked items, in this paper we tackle the situation in which some items can be tied,...
Article
Solving a problem by using metaheuristic algorithms requires the evaluation of a large number of potential solutions. This paper presents a theoretical and experimental study of the application of partial evaluation in the Rank Aggregation Problem (RAP). Partial evaluation just computes the part of the objective function that is affected by the mod...
Article
Full-text available
Recently, the Truck and Trailer Routing Problem (TTRP) has been tackled with uncertainty in the coefficients of constrains. In order to solve this problem it is necessary to use methods for comparison fuzzy numbers. The problem of ordering fuzzy quantities has been addressed by many authors and there are many indices to perform this task. However,...
Conference Paper
Several authors have ton the importance of aggregating the results of different feature selection methods in order to improve the solutions obtained. To the best of our knowledge, the consensus rankings obtained in all of these proposals do not allow that some variables are tied. This paper studies the advantages of allowing ties in the consensus r...
Conference Paper
Automatic sign language recognition (SLR) is an important topic within the areas of human-computer interaction and machine learning. On the one hand, it poses a complex challenge that requires the intervention of various knowledge areas, such as video processing, image processing, intelligent systems and linguistics. On the other hand, robust recog...
Article
Full-text available
The test phase is a difficult process that consumes a large percentage of the cost in terms of the time of the process of software development. The purpose of the tests is to determine if the developed products meet the requirements accord with the users and customers on specifications. Therefore, the processes, methods and tools that allow obtain...
Article
This paper introduces several cooperative proactive S-Metaheuristics, i.e. single-solution based metaheuristics, which are implemented taking advantage of two singular characteristics of the agent paradigm: proactivity and cooperation. Proactivity is applied to improve traditional versions of Threshold Accepting and Great Deluge Algorithm metaheuri...
Conference Paper
Recently, the Truck and Trailer Routing Problem (TTRP) has been tackled with uncertainty in the coefficients of constrains. In order to solve this problem it is necessary to use methods for comparison fuzzy numbers. The problem of ordering fuzzy quantities has been addressed by many authors and there are many indices to perform this task. However,...
Article
Full-text available
En el presente trabajo se exponen las principales experiencias del colectivo de profesores que ha impartido la asignatura Matemáticas Discretas en la F acultad de Ingeniería Informática del “Instituto Superior Politécnico José Antonio Echeverría” (CUJAE) durante el período que comprende los cursos desde 2007-2008 hasta 2014-2015. Los cursos han sid...
Chapter
The Truck and Trailer Routing Problem uses trucks pulling trailers as a distinctive feature of the Vehicle Routing Problem. Recently, this problem has been treated considering the capacity constraints as fuzzy. This situation means that the decision maker admits the violation of these constraints according to a value of tolerance. This relaxation c...
Article
Full-text available
Los cursos masivos abiertos en línea (conocidos como MOOC, por sus siglas en inglés) constituyen un fenómeno reciente que ha cambiado la perspectiva sobre la formación y el futuro de las instituciones educativas. Cientos de miles de personas han cursado este tipo de cursos en los últimos años. Sin embargo, para un estudiante que se encuentra con to...
Article
Full-text available
Evolutionary algorithms are normally applied to mine association rules on quantitative data but most of them obtain enough similar rules due to that the usual behavior of these algorithms is to converge on the best solution of the problem. To overthrow this issue, in this paper we present NICGAR, a new Niching Genetic Algorithm to obtain a reduce s...
Article
Full-text available
The present paper discusses the fleet distribution side of the Ship Routing and Scheduling problem combining factors of tactical and operative levels for an industrial service of maritime transportation of cargoes. A mathematical model based on the Generalized Bin Packing Problem wasused, which issupportedin the Local Search algorithm with first as...
Conference Paper
Full-text available
A partir del hecho de que en la actualidad se hace sumamente difícil definir un perfil para el desarrollo de trabajos de doctorado dentro de cualquier área del saber se hace necesario delimitar los campos de actuación de las diferentes ramas de investigación, en especial las conducentes a grados científicos. En el presente trabajo se exponen consid...