In recent years different genetic programming (GP) structures have emerged. Today, the basic forms of representation for genetic programs are tree, linear and graphstructures. In this contribution we introduce a new kind of GP structure which we call linear-graph. This is a further development to the linear-tree structure that we developedearlier. We describe the linear-graph structure, as well as crossover and mutation for this new GP structure in detail. We compare linear-graph programs withlinear and tree programs by analyzing their structure and results on different test problems.
CITATION STYLE
Kantschik, W., & Banzhaf, W. (2002). Linear-graph GP – A new GP structure. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2278, pp. 83–92). Springer Verlag. https://doi.org/10.1007/3-540-45984-7_8
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