191 documents found, page 1 of 20
A genetic algorithm to optimize the dispatch of firefighting resources
Matos, Marina A.; Gonçalves, Rui; Rocha, Ana Maria A. C.; Costa, Lino; Alvelos, Filipe Pereira eThe significant increase in the number of forest fires has raised great interest in studying ways to decrease this number and optimization is one of the most used techniques. This type of methods allows the support of the combat means in fighting forest fires, improving the effectiveness and speed of the firefighters actions. Knowing how many and which resources to allocate to each fire is an important key to s...
A multi-objective clustering algorithm integrating intra-clustering and inter-c...
Azevedo, Beatriz Flamia; Rocha, Ana Maria A. C.; Pereira, Ana I.This study delves into bio-inspired approaches and clustering methodologies to introduce an automated clustering algorithm named Multi-objective Clustering Algorithm (MCA). Using multi-objective strategies and several combination measures, this method calculates the optimal number of clusters and element partitioning by minimizing intra-clustering measures and maximizing inter-clustering ones. Through experimen...
A multi-objective clustering approach based on different clustering measures co...
Azevedo, Beatriz Flamia; Rocha, Ana Maria A. C.; Pereira, Ana I.Clustering methods aim to categorize the elements of a dataset into groups according to the similarities and dissimilarities of the elements. This paper proposes the Multi-objective Clustering Algorithm (MCA), which combines clustering methods with the Nondominated Sorting Genetic Algorithm II. In this way, the proposed algorithm can automatically define the optimal number of clusters and partition the elements...
ErgoReport: a holistic posture assessment framework based on inertial data and ...
Martins, Diogo Renato Dias; Cerqueira, Sara Maria Brito Araújo; Pombeiro, Ana; Ferreira da Silva, Alexandre; Rocha, Ana Maria A. C.; Santos, CristinaAwkward postures are a significant contributor to work-related musculoskeletal disorders (WRMSDs), which represent great social and economic burdens. Various posture assessment tools assess WRMSD risk but fall short in providing an elucidating risk breakdown to expedite the typical time-consuming ergonomic assessments. Quantifying, automating, but also complementing posture risk assessment become crucial. Thus,...
Comparison between single and multi-objective clustering algorithms: MathE case...
Azevedo, Beatriz Flamia; Rocha, Ana Maria A. C.; Fernandes, Florbela P.; Pacheco, Maria F.; Pereira, Ana I.This paper compares the results obtained for four single clustering algorithms with a multi-objective clustering approach. For this, a dataset describing the student’s behavior within the Linear Algebra topic on the MathE e-learning platform is used. This dataset aids in understanding student performance and engagement in MathE to support the development of an intelligent system to tailor the platform’s resourc...
A simulation-based optimization approach to the firefighting resource schedulin...
Paiva, Emerson J.; Matos, Marina A.; Rocha, Ana Maria A. C.In recent years, the number of forest fires has increased significantly. The main factors behind these disasters are rising temperatures and population growth. Optimization and simulation have been widely applied to forest firefighting problems, making it possible to improve the effectiveness and speed of firefighting actions. This work presents a forest firefighting resource scheduling problem, where a single ...
A firefighting resource dispatch problem optimization using metaheuristics
Matos, Marina A.; Gonçalves, Rui; Rocha, Ana Maria A. C.; Costa, Lino; Alvelos, Filipe Pereira eForest fires are a growing concern in our planet, as they have been increasing in frequency and severity over the last few decades. It is therefore essential to manage firefighting in order to prevent and reduce the damage caused to life, the economy and ecosystems. This work deals with the forest firefighting resource dispatch problem using metaheuristics. It is essential to know when and which suppression res...
A collaborative multi-objective approach for clustering task based on distance ...
Azevedo, Beatriz Flamia; Rocha, Ana Maria A. C.; Pereira, Ana I.Clustering algorithm has the task of classifying a set of elements so that the elements within the same group are as similar as possible and, in the same way, that the elements of different groups (clusters) are as different as possible. This paper presents the Multi-objective Clustering Algorithm (MCA) combined with the NSGA-II, based on two intra- and three inter-clustering measures, combined 2-to-2, to defin...
Using OR-tools when solving the nurse scheduling problem
Oliveira, Márcia; Rocha, Ana Maria A. C.; Alves, FilipeScheduling of employees is a common problem that can be found in most organizations all over the world. One example is the nurse scheduling problem (NSP), which is a complex combinatorial opti-mization problem faced by healthcare institutions in assigning working and nonworking days. The NSP comprises constraints for the nurses, for the hospital and considers specific labor regulations, as well as the skills an...
Preface [Computational Science and Its Applications – ICCSA 2024]
Gervasi, Osvaldo; Murgante, Beniamino; Garau, Chiara; Taniar, David; Rocha, Ana Maria A. C.; Lago, Maria Noelia Faginas[Excerpt] These two volumes (LNCS volumes 14813–14814) consist of the peer-reviewed papers from the 2024 International Conference on Computational Science and Its Applications (ICCSA 2024) which took place during July 1–4, 2024. In addition, the peer-reviewed papers of the 55 Workshops, the Workshops proceedings, are published in a separate set consisting of 11 volumes (LNCS 14815–14825). The conference was hel...