Raquel Bernardino

University of Lisbon

Portugal

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Articles (7)

Year:

2025

Year:

2025

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Collaborators (3)

Maria Cândida Mourão

Instituto Superior de Economia e Gestao

PORTUGAL

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Carlos Martins

Professor Auxiliar Convidado

Universidade de Lisboa Instituto Superior de Economia e Gestão

PORTUGAL

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Daniel Santos

Assistant Professor

Instituto Superior Técnico

PORTUGAL

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Raquel Bernardino

Research Interests

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Articles (7)

A Multi‐Trip Vehicle Routing Problem With Release Dates and Interrelated Periods

An iterated local search algorithm for the traveling purchaser problem

The family capacitated vehicle routing problem

The multi‐depot family traveling salesman problem and clustered variants: Mathematical formulations and branch‐&‐cut based methods

Corrigendum to “Solving the family traveling salesman problem” [European Journal of Operational Research, 267, 2018, 453–466]

The family traveling salesman problem with incompatibility constraints

Heuristic approaches for the family traveling salesman problem

Collaborators (3)

Maria Cândida Mourão

Carlos Martins

Daniel Santos

Make your next move.

Raquel Bernardino

Research Interests

Explore related searches

Contact this professor

Articles (7)

A Multi‐Trip Vehicle Routing Problem With Release Dates and Interrelated Periods

An iterated local search algorithm for the traveling purchaser problem

The family capacitated vehicle routing problem

The multi‐depot family traveling salesman problem and clustered variants: Mathematical formulations and branch‐&amp;‐cut based methods

Corrigendum to “Solving the family traveling salesman problem” [European Journal of Operational Research, 267, 2018, 453–466]

The family traveling salesman problem with incompatibility constraints

Heuristic approaches for the family traveling salesman problem

Collaborators (3)

Maria Cândida Mourão

Carlos Martins

Daniel Santos

Make your next move.

The multi‐depot family traveling salesman problem and clustered variants: Mathematical formulations and branch‐&‐cut based methods