Multiple single objective pareto sampling, The 2003 Congress on Evolutionary Computation, 2003. CEC '03., pp.2678-2684, 2003. ,
DOI : 10.1109/CEC.2003.1299427
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition, IEEE TEC, vol.11, issue.6, pp.712-731, 2007. ,
Generalized Decomposition, In: EMO, pp.428-442, 2013. ,
DOI : 10.1007/978-3-642-37140-0_33
Adaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm, In: EMO, vol.3, pp.438-452, 2009. ,
DOI : 10.1109/4235.797969
A Study on the Specification of a Scalarizing Function in MOEA/D for Many-Objective Knapsack Problems, pp.7-231, 2013. ,
DOI : 10.1007/978-3-642-44973-4_24
Using trade-off information in decision-making algorithms, Computers & Operations Research, vol.27, issue.2, pp.161-182, 2000. ,
DOI : 10.1016/S0305-0548(99)00030-1
On the properties of the R2 indicator, Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference, GECCO '12, pp.465-472, 2012. ,
DOI : 10.1145/2330163.2330230
URL : https://hal.archives-ouvertes.fr/hal-00722060
An augmented weighted Tchebycheff method with adaptively chosen parameters for discrete bicriteria optimization problems, Computers & Operations Research, vol.39, issue.12, pp.2929-2943, 2012. ,
DOI : 10.1016/j.cor.2012.02.021
On the impact of scalarizing functions on evolutionary multiobjective optimization, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-00968145
On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives, European Journal of Operational Research, vol.227, issue.2, pp.331-342, 2013. ,
DOI : 10.1016/j.ejor.2012.12.019
URL : https://hal.archives-ouvertes.fr/hal-00760097
Performance assessment of multiobjective optimizers: an analysis and review, IEEE Transactions on Evolutionary Computation, vol.7, issue.2, pp.117-132, 2003. ,
DOI : 10.1109/TEVC.2003.810758