1 citations · 1 across the 4 of their papers we have counts for
4 papers
Data-Efficient Interactive Multi-Objective Optimization Using ParEGO
Arash Heidari, Sebastian Rojas Gonzalez, Tom Dhaene +1
Multi-objective optimization is a widely studied problem in diverse fields, such as engineering and finance, that seeks to identify a set of non-dominated solutions that provide op…
Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations
Jack M. Buckingham, Sebastian Rojas Gonzalez, Juergen Branke
Multi-objective Bayesian optimization aims to find the Pareto front of trade-offs between a set of expensive objectives while collecting as few samples as possible. In some cases,…
Multi-objective simulation optimization of the adhesive bonding process of materials
Alejandro Morales-Hernández, Inneke Van Nieuwenhuyse, Sebastian Rojas Gonzalez +3
Automotive companies are increasingly looking for ways to make their products lighter, using novel materials and novel bonding processes to join these materials together. Finding t…
Constrained multi-objective optimization of process design parameters in settings with scarce data: an application to adhesive bonding
Alejandro Morales-Hernández, Sebastian Rojas Gonzalez, Inneke Van Nieuwenhuyse +4
Adhesive joints are increasingly used in industry for a wide variety of applications because of their favorable characteristics such as high strength-to-weight ratio, design flexib…