23 citations · 70 across the 12 of their papers we have counts for
12 papers
A Firefly Algorithm for Mixed-Variable Optimization Based on Hybrid Distance Modeling
Ousmane Tom Bechir, Adán José-García, Zaineb Chelly Garcia +2
Several real-world optimization problems involve mixed-variable search spaces, where continuous, ordinal, and categorical decision variables coexist. However, most population-based…
HBIC: A Biclustering Algorithm for Heterogeneous Datasets
Adán José-García, Julie Jacques, Clément Chauvet +2
Biclustering is an unsupervised machine-learning approach aiming to cluster rows and columns simultaneously in a data matrix. Several biclustering algorithms have been proposed for…
Biclustering Algorithms Based on Metaheuristics: A Review
Adan Jose-Garcia, Julie Jacques, Vincent Sobanski +1
Biclustering is an unsupervised machine learning technique that simultaneously clusters rows and columns in a data matrix. Biclustering has emerged as an important approach and pla…
Exploiting Promising Sub-Sequences of Jobs to solve the No-Wait Flowshop Scheduling Problem
Lucien Mousin, Marie-Eléonore Kessaci, Clarisse Dhaenens
The no-wait flowshop scheduling problem is a variant of the classical permutation flowshop problem, with the additional constraint that jobs have to be processed by the successive…
Neutrality in the Graph Coloring Problem
Marie-Eleonore Marmion, Aymeric Blot, Laetitia Jourdan +1
The graph coloring problem is often investigated in the literature. Many insights about many neighboring solutions with the same fitness value are raised but as far as we know, no…
Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes
Sébastien Verel, Arnaud Liefooghe, Laetitia Jourdan +1
In multiobjective combinatorial optimization, there exists two main classes of metaheuristics, based either on multiple aggregations, or on a dominance relation. As in the single o…