M. Ghallab, D. Nau, and P. Traverso, Automated Planning, Theory and Practice, 2004.

M. Do and S. Kambhampati, SAPA: A Multi-Objective Metric Temporal Planner, J. Artif. Intell. Res. (JAIR), vol.20, pp.155-194, 2003.

I. Refanidis and I. Vlahavas, Multiobjective heuristic state-space planning, Artificial Intelligence, vol.145, issue.1-2, pp.1-32, 2003.
DOI : 10.1016/S0004-3702(02)00371-5

A. Gerevini, A. Saetti, and I. Serina, An approach to efficient planning with numerical fluents and multi-criteria plan quality, Artificial Intelligence, vol.172, issue.8-9, pp.8-9, 2008.
DOI : 10.1016/j.artint.2008.01.002

Y. Chen, B. Wah, and C. Hsu, Temporal Planning using Subgoal Partitioning and Resolution in SGPlan, J. of Artificial Intelligence Research, vol.26, issue.1, pp.323-369, 2006.

S. Edelkamp and P. Kissmann, Optimal Symbolic Planning with Action Costs and Preferences, Proc. 21 st IJCAI, pp.1690-1695, 2009.

M. Schoenauer, P. Savéant, and V. Vidal, Divide-and-Evolve: A New Memetic Scheme for Domain-Independent Temporal Planning, Proc. 6 th EvoCOP, pp.247-260, 2006.
DOI : 10.1007/11730095_21

URL : https://hal.archives-ouvertes.fr/inria-00000975

V. Vidal, A Lookahead Strategy for Heuristic Search Planning, Proceedings of the 14 th ICAPS, pp.150-159, 2004.

R. Fikes and N. Nilsson, Strips: A new approach to the application of theorem proving to problem solving, Artificial Intelligence, vol.2, issue.3-4, pp.27-120, 1971.
DOI : 10.1016/0004-3702(71)90010-5

J. Biba¨?biba¨?, P. Savéant, M. Schoenauer, and V. Vidal, An Evolutionary Metaheuristic Based on State Decomposition for Domain-Independent Satisficing Planning, Proc. 20 th ICAPS, pp.18-25, 2010.

J. Biba¨?biba¨?, P. Savéant, M. Schoenauer, and V. Vidal, On the Benefit of Sub-Optimality within the Divide-and-Evolve Scheme, Proc. 10 th EvoCOP, pp.23-34, 2010.

P. Haslum and H. Geffner, Admissible Heuristics for Optimal Planning, Proc. AIPS-2000, pp.70-82, 2000.

A. Gerevini and D. Long, Preferences and Soft Constraints in PDDL3, ICAPS Workshop on Planning with Preferences and Soft Constraints, pp.46-53, 2006.

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, issue.2, pp.182-197, 2002.
DOI : 10.1109/4235.996017

E. Zitzler, M. Laumanns, and L. Thiele, SPEA2: Improving the Strength Pareto Evolutionary Algorithm for Multiobjective Optimization, In: Evol. Methods Design Optim. Control Applicat. Ind. Prob. (EUROGEN), pp.95-100, 2002.

E. Zitzler and S. Künzli, Indicator-Based Selection in Multiobjective Search, Proc. PPSN VIII, pp.832-842, 2004.
DOI : 10.1007/978-3-540-30217-9_84

E. Zitzler, M. Laumanns, and L. Thiele, SPEA2: Improving the Strength Pareto Evolutionary Algorithm, ETH Zürich, 2001.

M. Cahon and M. Talbi, Paradiseo, eo in paradise, Just testing the biblio for Paradiseo, rapport a la taille du papier, pp.1-10, 2050.

F. Hutter, H. H. Hoos, K. Leyton-brown, and T. Stützle, ParamILS: an automatic algorithm configuration framework, J. Artif. Intell. Res. (JAIR), vol.36, pp.267-306, 2009.

J. Biba¨?biba¨?, P. Savéant, M. Schoenauer, and V. Vidal, On the Generality of Parameter Tuning in Evolutionary Planning, Proc 12 th GECCO, pp.241-248, 2010.

M. Zitzler and M. Brockoff, Pisa, a framework for multi-objective algorithms testing, Just testing the biblio for Paradiseo, rapport a la taille du papier, pp.1-10, 2050.