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Analyse statistique d’hill climbers à voisinage large pour le problème d’ordonnancement linéaire

Published in ROADEF24, 2024

Use of linear programming and insertion algorithms to define neighborhoods and obtain local optimums. Ultimately, perturb and modify neighborhoods to enhance solutions.

Recommended citation: Angel David Reyero Lobo, Nicolas Dupin. Analyse statistique d’hill climbers à voisinage large pour le problème d’ordonnancement linéaire. ROADEF 2024, Mar 2024, Amiens, France. ffhal-04450707
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Data Analysis

Practical work, BSC, L3, Université Paul Sabatier, 2024

Data science

Tutorials and practical work, MSc, M1 Mapi3, Université Paul Sabatier, 2024

Linear algebra

Practical work, MSc, M1 SID, Université Paul Sabatier, 2024

Statistics

Tutorials and practical work, MSc, M1 Mapi3 & IMA, Université Paul Sabatier, 2025