1. Talbi, E.G.: Metaheuristics: From Design to Implementation, 1st edn. Wiley, New York (2009)
2. Burke, E.K., Gendreau, M., Hyde, M., Kendall, G., Ochoa, G., Özcan, E., Qu, R.: Hyper-heuristics : a survey of the state of the art. J. Oper. Res. Soc. 64, 1695–1724 (2013)
3. Fisher, H., Thompson, G.L.: Probabilistic learning combinations of local job-shop scheduling rules. In: Muth, J.F., Thompson, G.L. (eds.) Industrial Scheduling, pp. 225–251. Prentice-Hall, Hoboken (1963)
4. Denzinger, J., Fuchs, M., Fuchs, M.: High performance ATP systems by combining several AI methods. Technical Report, SEKI-Report SR-96-09, University of Kaiserslautern (1997).
5. Burke, E.K., Hyde, M., Kendall, G., Ochoa, G., Özcan, E., Woodwar, J.R.: A classification of hyper-heuristic approaches. In: Michel, G., Jean-Yves, P. (eds.) Handbook of Metaheuristics, pp. 449–468. Springer, Berlin (2010)