3 citations · 9 across the 4 of their papers we have counts for
4 papers
Surrogate-Based Black-Box Optimization Method for Costly Molecular Properties
Jules Leguy, Thomas Cauchy, Beatrice Duval +1
AI-assisted molecular optimization is a very active research field as it is expected to provide the next-generation drugs and molecular materials. An important difficulty is that t…
Population-based Gradient Descent Weight Learning for Graph Coloring Problems
Olivier Goudet, Béatrice Duval, Jin-Kao Hao
Graph coloring involves assigning colors to the vertices of a graph such that two vertices linked by an edge receive different colors. Graph coloring problems are general models th…
When data mining meets optimization: A case study on the quadratic assignment problem
Yangming Zhou, Jin-Kao Hao, Béatrice Duval
This paper presents a hybrid approach called frequent pattern based search that combines data mining and optimization. The proposed method uses a data mining procedure to mine freq…
Reinforcement learning based local search for grouping problems: A case study on graph coloring
Yangming Zhou, Jin-Kao Hao, Béatrice Duval
Grouping problems aim to partition a set of items into multiple mutually disjoint subsets according to some specific criterion and constraints. Grouping problems cover a large clas…