[1] Carlos A.Coello and Toscano Pulido Gregorio. A
micro-genetic algorithm for multiob-jective optimization. 2001.
[2] Colorni Alberto, Dorigo Marco, and Maniezzo Vittorio.
Metaheuristics for high-school timetabling. 1997.
[3] Schaerf Andrea. Tabu search techniques for large
high-school timetabling problemes. 1996.
[4] A.Smith, Abramson David, and Duke David. Hopfield neural
networks for timetabling : Formulations, methods,and comparative results.
2002.
[5] D.Abramson and J.Abela. A parallel genetic algorithm for
solving the school timetabling problem. 1992.
[6] de Werra. An introduction to timetabling. 1985.
[7] Kalyanmoy Deb. Optimization for engineering design :
Algorithms and examples. 1995.
[8] Zitzler Eckart, Laumanns Marco, and Thiele Lothar. Spea2
: Improving the strenght pareto evolutionary algorithm. 2001.
[9] Zitzler Eckart and Künzli Simon. Indicator-based
selection in multiobjective search. 2004.
[10] Burke Edmundand Kieran and Petrovic Sanja. Recent
research directions in automated timetabling. 2002.
[11] Ozcan Ender, Bykov Yuri, Birben Murat, and Edmund K
Burke. Examination timeta-bling using late acceptance hyper-heuristics.
2009.
[12] Alba Enrique and Tomassini Marco. Parallelism and
evolutionary algorithms. 2002.
[13] Poupard Guillaume. Algorithmique. 2000.
[14] I.C.Lerman and R.F.Ngouenet. Algorithmes
génétiques séquentiels et paralleles pour une
représentation affine des proximités. 1994.
[15] J.Stender. Parallel genetic algorithms : Theory and
applications. 1993.
[16] Deb Kalyanmoy, Pratap Amrit, Agarwal Sameer, and T.
Meyarivan. A fast and elitist multiobjective genetic algorithm :nsga-ii.
2000.
[17] Manikanth Mohan et Shikhar Mishra Kalyanmoy Deb. Towards
a quick computation of well-spread pareto-optimal solutions. 2003.
[18] Chiarandini Marco, Birattari Mauro, Socha Krzysztof, and
Rossi-Doria Olivia. An effective hybrid algorithm for university course
timetabling. 2006.
[19] Yagoubi Mouadh. Optimisation évolutionnaire
multi-objectif parallèle: application à la combustion diesel.
2012.