Luís Paquete

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Associate Professor

University of Coimbra

Portugal

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About

Dr. Luís Paquete is an Associate Professor at the University of Coimbra, Portugal. His research focuses on combinatorial optimization, including multi-objective problems, dynamic time warping, and resource management in computing environments. He has published extensively in areas such as quantum computing applications in finance and statistical methods for point set construction.

Recent Grants

Grant: Close

Sustrainable

Open Date: 2020-01-01

Close Date: 2023-01-01

Grant: Close

MOCO-SEARCH - Bridging the gap between exact methods and heuristics for multi-objective search

Open Date: 2018-01-01

Close Date: 2020-01-01

Grant: Close

Multi-objective network optimization for engineering and management support

Open Date: 2017-01-01

Close Date: 2018-01-01

Grant: Close

Focusing education on composability, comprehensibility and correctness of working software

Open Date: 2017-01-01

Close Date: 2019-01-01

Grant: Close

Multi-objective network optimization for engineering and management support

Open Date: 2017-01-01

Close Date: 2018-01-01

Articles (17)

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2021

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2020

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2020

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2020

Collaborators (16)

David Perez Abreu

Invited Assistant Professor

University of Coimbra

PORTUGAL

Luís Paquete

Research Interests

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Contact this professor

About

Recent Grants

Articles (17)

Grouping strategies on two-phase methods for bi-objective combinatorial optimization

A greedy hypervolume polychotomic scheme for multiobjective combinatorial optimization

An algorithm for improving lower bounds in dynamic time warping

Solving the Multiobjective Quasi-clique Problem

Searching permutations for constructing uniformly distributed point sets

Introduction to the “Best of GECCO 2023” Special Issue

Editorial for the Special Issue on Reproducibility

An Empirical Study on the Use of Quantum Computing for Financial Portfolio Optimization

A reconfigurable resource management framework for fog environments

Star discrepancy subset selection: Problem formulation and efficient approaches for low dimensions

Computing representations using hypervolume scalarizations

Finding multi-objective supported efficient spanning trees

Decision space robustness for multi-objective integer linear programming

The Hypervolume Indicator: Computational Problems and Algorithms

A model of anytime algorithm performance for bi-objective optimization

On the rectangular knapsack problem: approximation of a specific quadratic knapsack problem

Resilient Service Chains through Smart Replication

Collaborators (16)

David Perez Abreu

Kathrin Klamroth

Manuel López-Ibáñez

Michael Stiglmayr

Marilia Curado

Sara Silva

Pedro Correia

Arnaud Liefooghe

Edmundo Monteiro

Daniel Vanderpooten

Carlos Fonseca

Karima Velasquez Castro

Noé Godinho

João Paulo Fernandes

Mike Preuss

Gabriel Falcao

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