The paper presents the performance of the DEMO (Differential Evolution for Multiobjective Optimization) algorithm on the new bbob-biobj suite of test problems. After limited parameter tuning that comprised different environmental selection procedures, population sizes and crossover probabilities, we identify a parameter setting different from the default one that could be considered for future applications.
['Tea Tušar', 'Bogdan Filipič']
Performance of the DEMO Algorithm on the Bi-objective BBOB Test Suite