Titlebook: Genetic Programming Theory and Practice XII; Rick Riolo,William P. Worzel,Mark Kotanchek Book 2015 Springer International Publishing Switz

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Inheritable Epigenetics in Genetic Programming,rograms. Here we extend the biological analogy to incorporate epigenetic regulation through both learning and evolution. We begin the chapter with a discussion of Darwinian, Lamarckian, and Baldwinian approaches to evolutionary computation and describe how recent findings in biology differ conceptua

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Sequential Symbolic Regression with Genetic Programming,od is inspired by the sequential covering strategy from machine learning, but instead of sequentially reducing the size of the problem being solved, it sequentially transforms the original problem into potentially simpler problems. This transformation is performed according to the semantic distances

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Sliding Window Symbolic Regression for Detecting Changes of System Dynamics,window defines the portion of the data visible to the algorithm during training and is moved over the data. The window is moved regularly based on the generations or on the current selection pressure when using offspring selection. The sliding window technique has the effect that population has to a