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

S. Kambhampati, 1001 ways to skin a planning graph for heuristic fun and profit. Invited talk at, p.3, 2003.

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

URL : http://doi.org/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

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

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.

K. Deb, Multi-Objective Optimization Using Evolutionary Algorithms, 2001.

A. H. Brie and P. Morignot, Genetic Planning Using Variable Length Chromosomes, 15th Intl Conf. on Automated Planning and Scheduling, pp.320-329, 2005.

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 and H. Geffner, Branching and pruning: An optimal temporal POCL planner based on constraint programming, Proc. AAAI-2004, pp.570-577, 2004.
DOI : 10.1016/j.artint.2005.08.004

URL : https://hal.archives-ouvertes.fr/hal-00184540

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

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.

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.

M. R. Khouadjia, M. Schoenauer, V. Vidal, J. Dréo, and P. Savéant, Multi-objective AI Planning: Evaluating DaE YAHSP on a Tunable Benchmark, 7th International Conference on Evolutionary Multi-Criterion Optimization, pp.36-50, 2013.
DOI : 10.1007/978-3-642-37140-0_7

URL : https://hal.archives-ouvertes.fr/hal-00750560

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.

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

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

Y. Jin, T. Okabe, and B. Sendhoff, Adapting Weighted Aggregation for Multiobjective Evolution Strategies, Proc. EMO 2001, pp.96-110, 1993.
DOI : 10.1007/3-540-44719-9_7