Applying iterated local search to the permutation flow shop problem, 1998. ,
A comprehensive review and evaluation of permutation flowshop heuristics, European Journal of Operational Research, vol.165, issue.2, pp.479-494, 2005. ,
DOI : 10.1016/j.ejor.2004.04.017
A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem, European Journal of Operational Research, vol.177, issue.3, pp.2033-2049, 2007. ,
DOI : 10.1016/j.ejor.2005.12.009
A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem, Omega, vol.11, issue.1, pp.91-95, 1983. ,
DOI : 10.1016/0305-0483(83)90088-9
Optimization and Approximation in Deterministic Sequencing and Scheduling: a Survey, Annals of Discrete Mathematics, vol.5, pp.287-326, 1979. ,
DOI : 10.1016/S0167-5060(08)70356-X
Optimal two- and three-stage production schedules with setup times included, Naval Research Logistics Quarterly, vol.1, issue.1, pp.61-68, 1954. ,
DOI : 10.1002/nav.3800010110
Complexity of Machine Scheduling Problems, Annals of Discrete Mathematics, vol.1, pp.343-362, 1977. ,
DOI : 10.1016/S0167-5060(08)70743-X
Benchmarks for basic scheduling problems, European Journal of Operational Research, vol.64, issue.2, pp.278-285, 1993. ,
DOI : 10.1016/0377-2217(93)90182-M
The roles of mutation, inbreeding, crossbreeding and selection in evolution, Proceedings of the Sixth International Congress on Genetics, 1932. ,
Neutral evolution of mutational robustness, Proc. Nat. Acad. Sci. USA 96, pp.9716-9720, 1999. ,
DOI : 10.1073/pnas.96.17.9716
Adaptive Evolution on Neutral Networks, Bulletin of Mathematical Biology, vol.63, issue.4, pp.715-730, 2001. ,
DOI : 10.1006/bulm.2001.0244
Fitness landscape of the cellular automata majority problem: View from the ???Olympus???, Theoretical Computer Science, vol.378, issue.1, pp.378-54, 2007. ,
DOI : 10.1016/j.tcs.2007.01.001
Statistical Properties of Neutral Evolution, Journal of Molecular Evolution, vol.57, issue.0, pp.103-119, 2003. ,
DOI : 10.1007/s00239-003-0013-4
Correlated and uncorrelated fitness landscapes and how to tell the difference, Biological Cybernetics, vol.1, issue.5, pp.325-336, 1990. ,
DOI : 10.1007/BF00202749
The evolution of evolvability in genetic programming Advances in Genetic Programming, pp.47-74, 1994. ,
Measuring the evolvability landscape to study neutrality, Proceedings of the 8th annual conference on Genetic and evolutionary computation , GECCO '06, pp.613-614, 2006. ,
DOI : 10.1145/1143997.1144107
URL : https://hal.archives-ouvertes.fr/hal-00164917
Scuba search: when selection meets innovation, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753), pp.924-931, 2004. ,
DOI : 10.1109/CEC.2004.1330960
URL : https://hal.archives-ouvertes.fr/hal-00160035
NILS: A Neutrality-Based Iterated Local Search and Its Application to Flowshop Scheduling, 11th European Conference on Evolutionary Computation in Combinatorial Optimisation(EvoCOP11). LNCS, 2011. ,
DOI : 10.1007/978-3-642-20364-0_17
URL : https://hal.archives-ouvertes.fr/hal-00563459