A. Auger, D. Brockhoff, N. Hansen, D. Tu?ar, T. Tu?ar et al., Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite, GECCO (Companion) workshop on Black-Box Optimization Benchmarking (BBOB'2016), pp.1233-1239, 2016.

D. Brockhoff and N. Hansen, 2019. e Impact of Sample Volume in Random Search on the bbob Test Suite, GECCO (Companion) workshop on Black-Box Optimization Benchmarking (BBOB'2019)

D. Brockhoff, T. Tu?ar, D. Tu?ar, T. Wagner, N. Hansen et al., Biobjective Performance Assessment with the COCO Platform, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01315317

K. Deb and H. Jain, An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: Solving problems with box constraints, IEEE Transactions on Evolutionary Computation, vol.18, pp.577-601, 2014.

K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, vol.6, pp.182-197, 2002.

N. Hansen, D. Auger, D. Brockhoff, T. Tu?ar, and . Tu?ar, COCO: Performance Assessment, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01315318

N. Hansen, A. Auger, O. Mersmann, T. Tu?ar, and D. Brockhoff, COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Se ing, 2016.

N. Hansen, T. Tu?ar, O. Mersmann, A. Auger, and D. Brockhoff, COCO: e Experimental Procedure, 2016.

O. Krause, T. Glasmachers, N. Hansen, and C. Igel, Unbounded population MO-CMA-ES for the bi-objective BBOB test suite, Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, pp.1177-1184, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01381653

S. Kukkonen and J. Lampinen, GDE3: e third evolution step of generalized differential evolution, Evolutionary Computation, vol.1, pp.443-450, 2005.

K. Price, Differential evolution vs. the functions of the second ICEO, Proceedings of the IEEE International Congress on Evolutionary Computation, pp.153-157, 1997.

T. Tu?ar, D. Brockhoff, N. Hansen, and A. Auger, COCO: e Bi-objective Black-Box Optimization Benchmarking (bbob-biobj) Test Suite, 2016.

Q. Zhang and H. Li, MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition, IEEE Transactions on Evolutionary Computation, vol.11, pp.712-731, 2007.

E. Zitzler and S. Künzli, Indicator-Based Selection in Multiobjective Search, Conference on Parallel Problem Solving from Nature (PPSN VIII) (LNCS), vol.3242, pp.832-842, 2004.

E. Zitzler, M. Laumanns, and L. I. , SPEA2: Improving the Strength Pareto Evolutionary Algorithm for Multiobjective Optimization. In Evolutionary Methods for Design, Optimisation and Control with Application to Industrial Problems, pp.95-100, 2001.