C. Bierwirth, A generalized permutation approach to job shop scheduling with genetic algorithms, OR Spektrum, vol.38, issue.2-3, pp.87-92, 1995.
DOI : 10.1007/BF01719250

C. Bierwirth and D. C. Mattfeld, Production Scheduling and Rescheduling with Genetic Algorithms, Evolutionary Computation, vol.38, issue.1, pp.1-17, 1999.
DOI : 10.1016/0278-6125(91)90037-3
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.266

G. Bortolan and R. Degani, A review of some methods for ranking fuzzy subsets, Fuzzy Sets and Systems, vol.15, issue.1, pp.1-19, 1985.
DOI : 10.1016/0165-0114(85)90012-0

R. Cheng, M. Gen, and Y. Tsujimura, A tutorial survey of job-shop scheduling problems using genetic algorithms???I. representation, Computers & Industrial Engineering, vol.30, issue.4, pp.983-997, 1996.
DOI : 10.1016/0360-8352(96)00047-2

K. Deb, S. Agarwal, A. Pratap, and T. Meyarivan, A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II, Parallel Problem Solving from Nature PPSN VI, pp.849-858, 2000.
DOI : 10.1007/3-540-45356-3_83

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

P. Fortemps, Jobshop scheduling with imprecise durations: a fuzzy approach, IEEE Transactions on Fuzzy Systems, vol.5, issue.4, pp.557-569, 1997.
DOI : 10.1109/91.649907

P. Fortemps and M. Roubens, Ranking and defuzzification methods based on area compensation, Fuzzy Sets and Systems, vol.82, issue.3, pp.319-330, 1996.
DOI : 10.1016/0165-0114(95)00273-1

B. Giffler and G. L. Thompson, Algorithms for Solving Production-Scheduling Problems, Operations Research, vol.8, issue.4, pp.487-503, 1960.
DOI : 10.1287/opre.8.4.487

I. Gonzalez-rodriguez, J. Puente, C. Vela, and R. Varela, Semantics of Schedules for the Fuzzy Job-Shop Problem, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol.38, issue.3, pp.655-666, 2008.
DOI : 10.1109/TSMCA.2008.918603

I. Gonzalez-rodriguez, C. Vela, and J. Puente, A Memetic Approach to Fuzzy Job Shop Based on Expectation Model, 2007 IEEE International Fuzzy Systems Conference, pp.1-6, 2007.
DOI : 10.1109/FUZZY.2007.4295450

M. González, C. Vela, and R. Varela, Scheduling with Memetic Algorithms over the Spaces of Semi-active and Active Schedules, Lecture Notes in Computer Science, vol.4029, pp.370-379, 2006.
DOI : 10.1007/11785231_40

I. González-rodríguez, C. Vela, and J. Puente, A genetic solution based on lexicographical goal programming for a multiobjective job shop with uncertainty, Journal of Intelligent Manufacturing, vol.24, issue.3, pp.65-73, 2010.
DOI : 10.1007/s10845-008-0161-x

I. González-rodríguez, C. R. Vela, J. Puente, and A. Hernández-arauzo, Improved local search for job shop scheduling with uncertain durations, Nineteenth Int. Conf. on Automated Planning and Scheduling (ICAPS-2009, pp.154-161, 2009.

J. F. Gonçalves, J. J. De-magalhães-mendes, and M. G. Resende, A hybrid genetic algorithm for the job shop scheduling problem, European Journal of Operational Research, vol.167, issue.1, pp.77-95, 2005.
DOI : 10.1016/j.ejor.2004.03.012

A. S. Jain and S. Meeran, Deterministic job-shop scheduling: Past, present and future, European Journal of Operational Research, vol.113, issue.2, pp.390-434, 1999.
DOI : 10.1016/S0377-2217(98)00113-1
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.9979

M. T. Jensen, Improving robustness and flexibility of tardiness and total flow-time job shops using robustness measures, Applied Soft Computing, vol.1, issue.1, pp.35-52, 2001.
DOI : 10.1016/S1568-4946(01)00005-9

S. Lawrence, Supplement to Resource constrained project scheduling: An experimental investigation of heuristic scheduling techniques, 1984.

F. T. Lin and J. S. Yao, Using fuzzy numbers in knapsack problems, European Journal of Operational Research, vol.135, issue.1, pp.158-176, 2001.
DOI : 10.1016/S0377-2217(00)00310-6

B. Liu and Y. K. Liu, Expected value of fuzzy variable and fuzzy expected value models, IEEE Transactions on Fuzzy Systems, vol.10, issue.4, pp.445-450, 2002.

R. Nakano and T. Yamada, Conventional genetic algorithm for job shop problems, Proceedings of ICGA, pp.474-479, 1991.

B. J. Park, H. R. Choi, and H. S. Kim, A hybrid genetic algorithm for the job shop scheduling problems, Computers & Industrial Engineering, vol.45, issue.4, pp.597-613, 2003.
DOI : 10.1016/S0360-8352(03)00077-9

M. L. Pinedo, Scheduling: Theory, Algorithms, and Systems, 2008.

J. Puente, C. R. Vela, and I. González-rodríguez, Fast local search for fuzzy job shop scheduling, Proceedings of ECAI 2010, pp.739-744, 2010.

N. Srinivas and K. Deb, Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms, Evolutionary Computation, vol.27, issue.3, pp.221-248, 1994.
DOI : 10.1162/evco.1994.2.3.221

R. Varela, D. Serrano, and M. Sierra, New codification schemas for scheduling with genetic algorithms Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach, Lecture Notes in Computer Science, vol.3562, pp.15-20, 2005.

M. Vázquez and D. Whitley, A Comparison of Genetic Algorithms for the Static Job Shop Scheduling Problem, Parallel Problem Solving from Nature PPSN VI, pp.303-312, 2000.
DOI : 10.1007/3-540-45356-3_30

R. R. Yager, A procedure for ordering fuzzy subsets of the unit interval, Information Sciences, vol.24, issue.2, pp.143-161, 1981.
DOI : 10.1016/0020-0255(81)90017-7