34 documents found, page 1 of 4
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...
Hybrid approaches to optimization and machine learning methods: a systematic li...
Azevedo, Beatriz Flamia; Rocha, Ana Maria A.C.; Pereira, Ana I.Notably, real problems are increasingly complex and require sophisticated models and algorithms capable of quickly dealing with large data sets and finding optimal solutions. However, there is no perfect method or algorithm; all of them have some limitations that can be mitigated or eliminated by combining the skills of different methodologies. In this way, it is expected to develop hybrid algorithms that can t...
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, aswell as the skills and...
Capacitated waste collection problem solution using an open-source tool
Silva, Adriano S.; Alves, Filipe; Díaz de Tuesta, Jose Luis; Rocha, Ana Maria A.C.; Pereira, Ana I.; Silva, Adrián; Gomes, HelderPopulation in cities is growing worldwide, which puts the systems that offer basic services to citizens under pressure. Among these systems, the Municipal Solid Waste Management System (MSWMS) is also affected. Waste collection and transportation is the first task in an MSWMS, carried out traditionally in most cases. This approach leads to inefficient resource and time expense since routes are prescheduled or d...
Conceptual multi-agent system design for distributed scheduling systems
Alves, Filipe; Rocha, Ana Maria A.C.; Pereira, Ana I.; Leitão, PauloWith the progressive increase in the complexity of dynamic environments, systems require an evolutionary configuration and optimization to meet the increased demand. In this sense, any change in the conditions of systems or products may require distributed scheduling and resource allocation of more elementary services. Centralized approaches might fall into bottleneck issues, becoming complex to adapt, especial...
Build orientation optimization of car hoodvent with additive manufacturing
Matos, Marina A.; Rocha, Ana Maria A.C.; Costa, Lino; Pereira, Ana I.Additive manufacturing is a widely used process consisting in the building of a three-dimensional (3D) object from a model projected on a computer, adding the material layer-by-layer. This technology allows the printing of complex shape objects and is being increasingly adopted by the aircraft industry, medical implants, jewelry, footwear, automotive, fashion products, among others. The build orientation optimi...
The sustainable home health care process based on multi-criteria decision-support
Alves, Filipe; Costa, Lino; Rocha, Ana Maria A.C.; Pereira, Ana I.; Leitão, PauloThe increase in life expectancy has led to a growing demand for Home Health Care (HHC) services. However, some problems can arise in the management of these services, leading to high computational complexity and time-consuming to obtain an exact and/or optimal solution. This study intends to contribute to an automatic multi-criteria decision-support system that allows the optimization of several objective funct...
A hybrid approach to operational planning in home health care
Alves, Filipe; Duarte, António; Rocha, Ana Maria A.C.; Pereira, Ana I.; Leitão, PauloHome health care (HHC) management needs to plan their operations to synchronize professionals and allocate resources to perform several HHC services needed by patients. The growing demand for this type of service dictates the interest of all the stakeholders (professionalsand patients) in finding high-quality daily solutions and logistics. Routing and scheduling are problems of combinatorial nature, extremely c...
A systematic literature review on home health care management
Alves, Filipe; Rocha, Ana Maria A.C.; Pereira, Ana I.; Leitão, PauloThis work provides a systematic literature review based on an up-to-date assessment of the concepts, procedures and operational management in home health care (HHC). Worldwide, and especially in Portugal, there is a growing demand for HHC services, whether health or social, often supported by private or public institutions of social solidarity or health. The methodology was developed to, in the first phase, col...
Hybrid approaches to optimization and machine learning methods
Azevedo, Beatriz Flamia; Rocha, Ana Maria A.C.; Pereira, Ana I.This paper conducts a comprehensive literature review concerning hybrid techniques that combine optimization and machine learning approaches for clustering and classification problems. The aim is to identify the potential benefits of integrating these methods to address challenges in both fields. The paper outlines optimization and machine learning methods and provides a quantitative overview of publications si...