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About

About

Adelaide Cerveira received the B.Sc. degree in Mathematics- Operations Research branch from the University of Coimbra, Coimbra, Portugal, in 1993, the M.Sc. degree in Operations Research from the University of Lisbon, Lisbon, Portugal, in 1998, and the Ph.D. degree in Statistics and Operations Research from the University of Lisbon, Lisbon, Portugal, in 2006.

She is currently an Auxiliary Professor in Mathematics Department of Science and Technology School with UTAD.

Her current research interests include combinatorial optimization and applications, especially on forest management and Network Design. Her past research also includes Semidefinite Programming and applications to Structural Design.

Interest
Topics
Details

Details

  • Name

    Adelaide Cerveira
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    01st May 2015
Publications

2018

Wine productivity per farm size: a maximum entropy application

Authors
Galindro, A; Santos, M; Santos, C; Marta-Costa, A; Matias, J; Cerveira, A;

Publication
Wine Economics and Policy

Abstract

2017

Self-thinning dynamics in cork oak woodlands: providing a baseline for managing density

Authors
Fonseca, T; Monteiro, L; Enes, T; Cerveira, A;

Publication
FOREST SYSTEMS

Abstract
Aim of study: The study aims to evaluate the maximum potential stocking level in cork oak (Quercus suber L.) woodlands, using the ecologically-based size-density relationship of the self-thinning law. Area of study: The study area refers to cork oak forests in mainland Portugal, distributed along its 18 districts from north to south. Material and Methods: A dataset with a total of 2181 observations regarding pure cork oak stands was collected from the Portuguese Forest Inventory (NFI) databases and from research plots. The dataset was subjected to two filtering procedures, one more restrictive than the other, to select the stands presenting the higher stocking values. The two resulting subsets, with 116 and 36 observations, from 16 and 10 districts of mainland Portugal, respectively, were then used to assess and describe the allometric relationship between tree number and their mean diameter. Main results: The allometric relationship was analysed and modelled using the log transformed variables. A slightly curvilinear trend was identified. Thus, a straight line and a curve were both fitted for comparison purposes. Goodness-of-fit statistics point out for a good performance when the data is set to the uppermost observed stocking values. A self-thinning line for cork oak was projected from the estimated relationship. Research highlights: The self-thinning model can be used as an ecological approach to develop density guidelines for oak woodlands in a scenario of increasing cork demands. The results indicate that the recommendations being applied in Portugal are far below the maximal potential stocking values for the species. It is therefore of the utmost importance to review the traditional silvicultural guidelines and endorse new ones.

2017

Statistical Analysis of the Influence of Several Factors on Compressive Strength of Alkali Activated Fly Ash

Authors
Cerveira, A; Correia, E; Cristelo, N; Miranda, T; Castro, F; Fernandez Jimenez, A;

Publication
Procedia Structural Integrity

Abstract

2016

Optimal Cable Design of Wind Farms: The Infrastructure and Losses Cost Minimization Case

Authors
Cerveira, A; de Sousa, A; Solteiro Pires, EJS; Baptista, J;

Publication
IEEE TRANSACTIONS ON POWER SYSTEMS

Abstract
Wind power is the source of electrical energy that has grown more over the last years, with annual rate in installed capacity around 20%. Therefore, it is important to optimize the production efficiency of wind farms. In a wind farm, the electrical energy is collected at a central substation from different wind turbines placed nearby. This paper addresses the optimal design of the cable network interconnecting the turbines to the substation aiming to minimize not only the infrastructure cost but also the cost of the energy losses in the cables. Although this problem is non-linear, different integer linear programming models are proposed considering the wind farm technical constraints. The models are applied to three real cases Portuguese wind farms. The computational results show that the proposed models are able to compute the optimal solutions for all cases.

2016

Spatial considerations of an area restriction model for identifying harvest blocks at commercial forest plantations

Authors
Kašpar, J; Perez, GFE; Cerveira, A; Marušák, R;

Publication
Forestry Journal

Abstract
In the past few decades, ecological and environmental issues have dominated the forest industry worldwide, but economic aspects have been much less studied in this dynamic period. However, a sustainable and efficient forest biomass supply is critical for socio-economic development in many regions, particularly in rural areas. Nature protection efforts have contributed to reduced harvesting quotas, which have resulted in an imbalance of the environmental functions of the forests and forest management, particularly wood supply. Considering the size and distribution of forest production management units and the forest stands that compose those units, there is a clear need for improved decision-making tools that help forest managers in planning harvest sequences. The optimization of harvest scheduling should consider economic and spatial factors, which may reduce production costs by increasing the logistic efficiency. Moreover, incorporating maximum harvesting opening size constraints into planning can help preserve biodiversity. This article presents a new spatial harvest scheduling model based on the integer programming method; it was developed using real data from a forest production unit located in the northern part of the southeast region of Brazil. The goal of the proposed scheduling approach is to maximize the net present value and concentrate the harvesting locations in each period. In spite of the fact that the object of the study is plantation forest under management different to common conditions in Europe or North America, the model is flexible and can be used in management of forest in Central Europe. © 2016 Jan Kašpar et al.

Supervised
thesis

2016

Otimização do abastecimento interno do Centro Hospitalar de Trás-os-Montes e Alto Douro, EPE

Author
Javier Alvarez da Rocha

Institution
UTAD

2016

Sistemas de Suporte à Decisão Aplicados à Gestão Florestal Sustentável em Povoamentos de Pinus pinaster Ait.

Author
Paulo Daniel Monteiro Costa

Institution
UTAD

2016

-

Author
Chong liu

Institution
UM

2015

Ecologia e relação diâmetro-densidade em povoamentos sobreiro (Quercus Suber L.)

Author
Luísa Raquel Ribeiro Monteiro

Institution
UTAD