This is just a short list to get started

Books and Articles

Banzhaf, W. et al. (1998). Genetic Programming~ An Introduction, Morgan Kaufman Publishers, Inc.

Bishop, C. M. (2006). Pattern Recognition and Machine Learning, pp. 225-290, Springer.

Benuskova, L. and Kasabov N. (2006). Computational Neurogenetic Modeling, Springer.

Brabazon, A. and O'Neill, M. (2006). Biologically Inspired Algorithms for Financial Modelling, Springer.

Elman, J.L. (1990). Finding structure in time. Cognitive Science, 14, 179-211.

Elman, J. L. (1991). Distributed Representations, Simple Recurrent Networks, and Grammatical Structure. Machine Learning, 7, 195-224.

Kolen J. F., and Kremer S. C. (2001). A Field Guide to Dynamical Recurrent Networks, IEEE Press.

Mitchell M. (1999). An Introduction to Genetic Algorithms, The MIT Press

Nikolaev, N. and Iba, H. (2006). Adaptive Learning of Polynomial Networks, Springer.

Padhy, N. P. (2005). Artificial Intelligence and Intelligent Systems, Oxford University Press.