Laetitia Jourdan

Laetitia Jourdan

Université de Lille

H-index: 30

Europe-France

About Laetitia Jourdan

Laetitia Jourdan, With an exceptional h-index of 30 and a recent h-index of 18 (since 2020), a distinguished researcher at Université de Lille, specializes in the field of optimisation, multi-objectif, metaheuristiques.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mary-Morstan

Improving neighborhood exploration into MOEA/D framework to solve a bi‐objective routing problem

Solving a multiobjective professional timetabling problem using evolutionary algorithms at Mandarine Academy

Mahmoud Golabi¹ (), Soheila Ghambari¹, Shilan Amir Ashayeri²

Improving moea/d with knowledge discovery. application to a bi-objective routing problem

Integration of Knowledge Discovery into MOEA/D

A Hybrid Genetic Approach for Bi-Level Flexible Job Shops Arising from Selective Deconstruction

MOCA-I

Laetitia Jourdan Information

University

Position

Professeur d'Université CRIStAL CNRS

Citations(all)

3542

Citations(since 2020)

1397

Cited By

2705

hIndex(all)

30

hIndex(since 2020)

18

i10Index(all)

66

i10Index(since 2020)

35

Email

University Profile Page

Université de Lille

Google Scholar

View Google Scholar Profile

Laetitia Jourdan Skills & Research Interests

optimisation

multi-objectif

metaheuristiques

Top articles of Laetitia Jourdan

Title

Journal

Author(s)

Publication Date

Mary-Morstan

Laurent Parmentier

Laetitia Jourdan

Marie-Eléonore Kessaci

Olivier Nicol

Olivier Caron

2024/2/7

Improving neighborhood exploration into MOEA/D framework to solve a bi‐objective routing problem

International Transactions in Operational Research

Clément Legrand

Diego Cattaruzza

Laetitia Jourdan

Marie‐Eléonore Kessaci

2023/9/24

Solving a multiobjective professional timetabling problem using evolutionary algorithms at Mandarine Academy

International Transactions in Operational Research

Mounir Hafsa

Pamela Wattebled

Julie Jacques

Laetitia Jourdan

2023/3/14

Mahmoud Golabi¹ (), Soheila Ghambari¹, Shilan Amir Ashayeri²

Artificial Evolution: 15th International Conference, Évolution Artificielle, EA 2022, Exeter, UK, October 31–November 2, 2022, Revised Selected Papers

Laetitia Jourdan

Lhassane Idoumghar

2023/8/31

Improving moea/d with knowledge discovery. application to a bi-objective routing problem

Clément Legrand

Diego Cattaruzza

Laetitia Jourdan

Marie-Eléonore Kessaci

2023/3/9

Integration of Knowledge Discovery into MOEA/D

Clément Legrand

Diego Cattaruzza

Laetitia Jourdan

Marie-Eléonone Kessaci

2023/2/20

A Hybrid Genetic Approach for Bi-Level Flexible Job Shops Arising from Selective Deconstruction

Corentin Juvigny

Julien Baste

Guillaume Lozenguez

Arnaud Doniec

Laetitia Jourdan

2023/7/1

MOCA-I

Lucien Mousin

Laetitia Jourdan

Julie Jacques

Clarisse Dhaenens

Olivier Caron

2023/12/7

MH-Builder

Lucien Mousin

Laetitia Jourdan

Marie-Éléonore Kessaci

Nadarajen Veerapen

Nicolas Szczepanski

...

2023/12/7

160P Non-invasive analysis of VOCs in exhaled air can distinguish healthy controls from lung cancer patients and may improve the effectiveness of lung cancer screening

Journal of Thoracic Oncology

S Hulo

Julie Jacques

F Sihrener

E Wasielewski

Laetitia Jourdan

...

2023/4/1

3D Path Planning of Autonomous Underwater Vehicles Using a Rapidly-exploring Random Trees Algorithm

Ali Arifi

Julien Lepagnot

Soufiene Bouallègue

Laetitia Jourdan

2023/10/12

E-learning recommender system dataset

Data in Brief

Mounir Hafsa

Pamela Wattebled

Julie Jacques

Laetitia Jourdan

2023/4/1

Machine Learning for Multi-Objective Problems

Clément Legrand

Diego Cattaruzza

Laetitia Jourdan

Marie-Eléonore Kessaci

2022/2/23

New neighborhood strategies for the bi-objective vehicle routing problem with time windows

Clément Legrand

Diego Cattaruzza

Laetitia Jourdan

Marie-Eléonore Kessaci

2022/7/11

Optimisation Multi-Objectif pour la Recommandation: application à une MOOC d'entreprise

Mounir Hafsa

Pamela Wattebled

Julie Jacques

Laetitia Jourdan

2022/2/23

Enhancing MOEA/D with learning: application to routing problems with time windows

Clément Legrand

Diego Cattaruzza

Laetitia Jourdan

Marie-Eléonore Kessaci

2022/7/9

Unbalanced budget distribution for automatic algorithm configuration

Soft Computing

Soheila Ghambari

Hojjat Rakhshani

Julien Lepagnot

Laetitia Jourdan

Lhassane Idoumghar

2022/2

Multi-objective recommender system for corporate mooc

Mounir Hafsa

Pamela Wattebled

Julie Jacques

Laetitia Jourdan

2022/7/9

Towards hybridization of multi-agent simulation and metaheuristics applied to selective deconstruction

Corentin Juvigny

Julien Baste

Guillaume Lozenguez

Arnaud Doniec

Laetitia Jourdan

2022/12/4

Metaheuristics for data mining: survey and opportunities for big data

Annals of Operations Research

Clarisse Dhaenens

Laetitia Jourdan

2022/7

See List of Professors in Laetitia Jourdan University(Université de Lille)

Co-Authors

H-index: 82
Dragan Savic

Dragan Savic

University of Exeter

H-index: 79
Holger Hoos

Holger Hoos

Universiteit Leiden

H-index: 62
El-ghazali Talbi

El-ghazali Talbi

Université de Lille

H-index: 57
David Corne

David Corne

Heriot-Watt University

H-index: 29
Sébastien Verel

Sébastien Verel

Université du Littoral Côte d'Opale

H-index: 22
Matthieu Basseur

Matthieu Basseur

Université d'Angers

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