Theory of the hypervolume indicator, Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms, FOGA '09, pp.87-102, 2009. ,
DOI : 10.1145/1527125.1527138
URL : https://hal.archives-ouvertes.fr/inria-00430540
Two-dimensional subset selection for hypervolume and epsilon-indicator, Proceedings of the 2014 conference on Genetic and evolutionary computation, GECCO '14, pp.589-596, 2014. ,
DOI : 10.1145/2576768.2598276
Direct Multisearch for Multiobjective Optimization, SIAM Journal on Optimization, vol.21, issue.3, pp.1109-1140, 2011. ,
DOI : 10.1137/10079731X
A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, vol.6, issue.2, pp.182-197, 2002. ,
DOI : 10.1109/4235.996017
A New Hybrid Evolutionary Multiobjective Algorithm Guided by Descent Directions, Journal of Mathematical Modelling and Algorithms in Operations Research, vol.7, issue.2, pp.233-251, 2013. ,
DOI : 10.1007/s10852-012-9208-2
Many-objective optimization using differential evolution with variable-wise mutation restriction, Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, GECCO '13, pp.591-598, 2013. ,
DOI : 10.1145/2463372.2463445
Benchmarking optimization software with performance profiles, Mathematical Programming, pp.201-213, 2002. ,
DOI : 10.1007/s101070100263
Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function, Evolutionary Multi-Criterion Optimization, pp.213-225, 2001. ,
DOI : 10.1007/3-540-44719-9_15
Diagnostic Assessment of Search Controls and Failure Modes in Many-Objective Evolutionary Optimization, Evolutionary Computation, vol.1, issue.3, pp.423-452, 2012. ,
DOI : 10.1109/TEVC.2003.810758
Real-Parameter Black-Box Optimization Benchmarking 2009: Experimental Setup, 2009. ,
URL : https://hal.archives-ouvertes.fr/inria-00362649
Comparing Results of 31 Algorithms from the Black-box Optimization, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00545727
Problem Definitions for Performance Assessment of Multi-objective Optimization Algorithms, 2007. ,
Hypervolume Subset Selection in Two Dimensions: Formulations and Algorithms, Evolutionary Computation, vol.1498, issue.3, 2014. ,
DOI : 10.1007/978-3-540-88908-3_14
Performance assessment of Generalized Differential Evolution 3 with a given set of constrained multi-objective test problems, 2009 IEEE Congress on Evolutionary Computation, pp.1943-1950, 2009. ,
DOI : 10.1109/CEC.2009.4983178
Exploratory Analysis of Stochastic Local Search Algorithms in Biobjective Optimization, Experimental Methods for the Analysis of Optimization Algorithms, pp.209-222, 2010. ,
Benchmarking Derivative-Free Optimization Algorithms, SIAM Journal on Optimization, vol.20, issue.1, pp.172-191, 2009. ,
DOI : 10.1137/080724083
A survey on multi-objective evolutionary algorithms for many-objective problems, Computational Optimization and Applications, vol.38, issue.5, pp.707-756, 2014. ,
DOI : 10.1007/s10589-014-9644-1
Improved Step Size Adaptation for the, Conference on Genetic and Evolutionary Computation, pp.487-494, 2010. ,
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition, IEEE Transactions on Evolutionary Computation, vol.11, issue.6, pp.712-731, 2007. ,
DOI : 10.1109/TEVC.2007.892759
Multiobjective Optimization Test Instances for the CEC 2009 Special Session and Competition, 2009. ,
Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications, 1999. ,
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