Covariance Matrix Adaptation for Multi-objective Optimization, Evolutionary Computation, vol.15, issue.1, pp.1-28, 2007. ,
DOI : 10.1109/TEVC.2003.810758
Multi-objective AI Planning: Evaluating DaE YAHSP on a Tunable Benchmark, LNCS, vol.7811, pp.7-36, 2013. ,
DOI : 10.1007/978-3-642-37140-0_7
URL : https://hal.archives-ouvertes.fr/hal-00750560
Pareto-Based Multiobjective AI Planning, IJCAI, pp.2321-2328, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00835003
The Art of Computer Programming, Generating All Tuples and Permutations, 2005. ,
Exploring Metric Sensitivity of Planners for Generation of Pareto Frontiers, pp.306-317, 2012. ,
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
Solving Large MultiZenoTravel Benchmarks with Divide-and-Evolve, Proc. LION'9, 2015. ,
DOI : 10.1007/978-3-319-19084-6_25
URL : https://hal.archives-ouvertes.fr/hal-01109776
Divide-and-Evolve: A New Memetic Scheme for Domain-Independent Temporal Planning, LNCS, vol.3906, pp.247-260, 2006. ,
DOI : 10.1007/11730095_21
URL : https://hal.archives-ouvertes.fr/inria-00000975
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results, Evolutionary Computation, vol.8, issue.2, pp.173-195, 2000. ,
DOI : 10.1109/4235.797969