Binois, M.; Ginsbourger, D.; Roustant, O. - In: European Journal of Operational Research 243 (2015) 2, pp. 386-394
Multi-objective optimization algorithms aim at finding Pareto-optimal solutions. Recovering Pareto fronts or Pareto sets from a limited number of function evaluations are challenging problems. A popular approach in the case of expensive-to-evaluate functions is to appeal to metamodels. Kriging...