1. Bremermann, H., Rogson, M., Salaff, S.: Global properties of evolution processes. In: Natural Automata and Useful Simulations, pp. 3–41. Spartan Books, Washington DC (1966)
2. Fahlman, S.E., Lebiere, C.: The cascade-correlation learning architecture. In: Touretzky, D.S (ed.) Advances in Neural Information Processing II, pp. 524–532. Morgan Kauffman, San Mateo (1990)
3. Gedeon, T.D., Tamhane, D., Lin, T., Wong, P.M.: Use of linguistic petrographical descriptions to characterise core porosity: contrasting approaches. J. Petrol. Sci. Eng. 31(2–4), 193–199 (2001)
4. Holland, J.H., Goldberg, D.E.: Genetic algorithms and machine learning. Mach. Learn. 3(2–3), 95–99 (1988)
5. Lara, A., Sanchez, G., Coello, C.A.C., Schutze, O.: HCS: a new local search strategy for memetic multiobjective evolutionary algorithms. IEEE Trans. Evolut. Comput. 14(1), 112–132 (2009)