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Sobre
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Sobre

Sou professora auxiliar com agregação da Faculdade de Economia da Universidade do Porto (FEP) e membro da direção do LIAAD, Laboratório de Inteligência Artificial e de Apoio à Decisão da UP. O LIAAD é um centro do INESC TEC desde 2007. Sou doutora em Management Science pelo Imperial College of London – Business School, mestre em Investigação Operacional pela The London School of Economics and Political Sciences e Licenciada em Engenharia Eletrotécnica e de Computadores pela Faculdade de Engenharia da Universidade do Porto. Fui professora visitante na University of Florida - Department of Industrial and Systems Engineering (2007/08) e na Texas A&M University – Department Industrial & Systems Engineering (2015-16).

Os meus interesses de investigação centram-se no desenvolvimento e aplicação de técnicas de Investigação Operacional e Inteligência Artificial para auxiliar a tomada de decisão em problemas de gestão em vários domínios (serviços, indústria, logística e transportes), com enfoque em problemas de otimização combinatória.

Na FEP leciono, essencialmente em Inglês, disciplinas de Investigação Operacional e Gestão das Operações ao primeiro ciclo, Logística, Análise de Decisão e Otimização aos segundo e terceiros ciclos e estou em vários Órgãos (Conselho de Representantes, Conselho Científico e Direção do Doutoramento em Gestão, entre outros).

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Dalila Fontes
  • Cluster

    Informática
  • Cargo

    Investigador Sénior
  • Desde

    01 janeiro 2011
003
Publicações

2020

A Lagrangian Bound on the Clique Number and an Exact Algorithm for the Maximum Edge Weight Clique Problem

Autores
Hosseinian, S; Fontes, DBMM; Butenko, S;

Publicação
INFORMS Journal on Computing

Abstract

2020

Layout optimization of an airborne wind energy farm for maximum power generation

Autores
Roque, LAC; Paiva, LT; Fernandes, MCRM; Fontes, DBMM; Fontes, FACC;

Publicação
Energy Reports

Abstract
We consider a farm of Kite Power Systems (KPS) in the field of Airborne Wind Energy (AWE), in which each kite is connected to an electric ground generator by a tether. In particular, we address the problem of selecting the best layout of such farm in a given land area such that the total electrical power generated is maximized. The kites, typically, fly at high altitudes, sweep a greater area than that of traditional wind turbines, and move within a conic shaped volume with vertex on the ground station. Therefore, constraints concerning kite collision avoidance and terrain boundaries must be considered. The efficient use of a given land area by a set of KPS depends on the location of each unit, on its tether length and on the elevation angle. In this work, we formulate the KPS farm layout optimization problem. Considering a specific KPS and wind characteristics of the given location, we study the power curve as a function of the tether length and elevation angle. Combining these results with an area with specified length and width, we develop and implement a heuristic optimization procedure to devise the layout of a KPS farm that maximizes wind power generation. © 2019

2020

Layout optimization of an airborne wind energy farm for maximum power generation

Autores
Roque, LAC; Paiva, LT; Fernandes, MCRM; Fontes, DBMM; Fontes, FACC;

Publicação
Energy Reports

Abstract
We consider a farm of Kite Power Systems (KPS) in the field of Airborne Wind Energy (AWE), in which each kite is connected to an electric ground generator by a tether. In particular, we address the problem of selecting the best layout of such farm in a given land area such that the total electrical power generated is maximized. The kites, typically, fly at high altitudes, sweep a greater area than that of traditional wind turbines, and move within a conic shaped volume with vertex on the ground station. Therefore, constraints concerning kite collision avoidance and terrain boundaries must be considered. The efficient use of a given land area by a set of KPS depends on the location of each unit, on its tether length and on the elevation angle. In this work, we formulate the KPS farm layout optimization problem. Considering a specific KPS and wind characteristics of the given location, we study the power curve as a function of the tether length and elevation angle. Combining these results with an area with specified length and width, we develop and implement a heuristic optimization procedure to devise the layout of a KPS farm that maximizes wind power generation. © 2019

2020

A multistart biased random key genetic algorithm for the flexible job shop scheduling problem with transportation

Autores
Homayouni, SM; Fontes, DBMM; Gonçalves, JF;

Publicação
International Transactions in Operational Research

Abstract

2019

Joint scheduling of production and transport with alternative job routing in flexible manufacturing systems

Autores
Homayouni, SM; Fontes, DBMM;

Publicação

Abstract

Teses
supervisionadas

2019

Assortment Optimization in Online Retail

Autor
Helena Beatriz Oliveira Santos

Instituição
UP-FEP

2019

Corporate Social Responsibility Communication in The Logistics Industry: The Home Country Role

Autor
Ester Santos da Costa

Instituição
UP-FEP

2019

A workforce size optimization framework for retailers

Autor
Patrícia Gomes da Conceição

Instituição
UP-FEP

2019

Sustainability in the manufacturing - a systematic literature review

Autor
Catarina Sofia Martins Pereira

Instituição
UP-FEP

2018

Application of a Genetic Algorithm to the design of a supply chain management with financial considerations

Autor
Maria Alexandra Teixeira Borges

Instituição
UP-FEP