J. Bibai, M. Schoenauer, and P. Savéant, Divide-And-Evolve Facing State-of-the-Art Temporal Planners during the 6 th International Planning Competition, Ninth European Conference on Evolutionary Computation in Combinatorial Optimization number 5482 in Lecture Notes in Computer Science, pp.133-144, 2009.
DOI : 10.1016/j.artint.2005.08.004

URL : https://hal.archives-ouvertes.fr/inria-00356069

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

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

O. Maron, M. , and A. W. , Hoeffding Races: Accelerating Model Selection Search for Classification and Function Approximation, Advances in neural information processing systems, pp.59-66, 1994.

M. Schoenauer, P. Savéant, and V. Vidal, Divideand-Evolve: a Sequential Hybridization Strategy using Evolutionary Algorithms, Advances in Metaheuristics for Hard Optimization, pp.179-198, 2007.

V. Vidal, A Lookahead Strategy for Heuristic Search Planning, 14 th International Conference on Automated Planning & Scheduling -ICAPS, pp.150-160, 2004.

B. Yuan and M. Gallagher, Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms, Parallel Problem Solving from Nature - PPSN VIII, pp.172-181, 2004.
DOI : 10.1007/978-3-540-30217-9_18

B. Yuan and M. Gallagher, Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks, Parameter Setting in Evolutionary Algorithms, pp.121-142, 2007.
DOI : 10.1007/978-3-540-69432-8_6