Gene Expression Programming

Some papers on Gene Expression Programming that I found useful for my thesis (I am trying to get a paper on my variation of GEP called Robust Gene Expression Programming accepted at the Complex Adaptive Systems conference, and I will post a reference to that paper if it is accepted):

X. Li, C. Zhou, W. Xiao, and P.C. Nelson, “Prefix Gene Expression Programming”, in Late Breaking Paper at the Genetic and Evolutionary Computation Conference(GECCO- 8. References 2005), Washington, D.C., 2005.

Xin Li, Chi Zhou, Weimin Xiao, and Peter C. Nelson. "Direct Evolution of Hierarchical Solutions with Self-Emergent Substructures." In Proceedings of the 4th International Conference on Machine Learning and Applications (ICMLA'05), pp. 337-342. Dec 15-17, 2005. Los Angeles, CA, USA.

Xin Li. "Self-Emergence of Structures in Gene Expression Programming." In
AAAI/SIGART Doctoral Consortium 2005. July 9-10, 2005. Pittsburgh, Pennsylvania, USA

Xin Li, Chi Zhou, Peter C. Nelson, and Thomas M. Tirpak. "Investigation of Constant Creation Techniques in the Context of Gene Expression Programming." In Late Breaking Paper at Genetic and Evolutionary Computation Conference (GECCO-2004). June 26-30, 2004. Seattle, Washington, USA

Ferreira, C. Gene Expression Programming: a New Adaptive Algorithm for Solving Problems. Complex Systems, 13, 2 (2001)

Ferreira, C. Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence. Angra do Heroismo, Portugal, 2002.

J. G. Moreno-Torres, X. Llorfla, and D. E. Goldberg. Binary representation in gene expression programming: Towards a better scalability. Technical report, Illinois Genetic Algorithms Lab (IlliGAL) at UIUC, 2009.

Banzhaf, W., Genotype-Phenotype-Mapping and Neutral Variation – A Case Study in Genetic Programming. In Y. Davidor, H.-P. Schwefel, and R. Männer, eds., Parallel Problem Solving from Nature III, Lecture Notes in Computer Science, 866: 322-332, Springer-Verlag, 1994.

R. E. Keller and W. Banzhaf, “Genetic Programming Using Genotype-phenotype Mapping from Linear Genomes into Linear Phenotypes”, in J. R. Koza, D. E., Goldberg, D. B. Fogel, J. R. Koza, W. Banzhaf, K. Chellapilla, M. Dorigo, D. B.Fogel, and R. L. Riolo, eds., Genetic Programming 1996

My favorite of these is the Prefix Gene Expression Programming paper- PGEP is (imho) a much cleaner and easy to use system then the original GEP and I think that it should be used for the basis of future extensions to GEP (I definitely based RGEP on PGEP (and on BGEP) not GEP).

Notice the papers on Genotype-Phenotype Mapping Systems- they are the basis of GEP, Grammatical evolution, Binary Genetic Programming, Developmental Genetic Programming, Cartesian Genetic Programming, and probably many other systems.