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This paper examines the impact of semantic control on the ability of Genetic Programming (GP) to generalise via a semantic based crossover operator (Semantic Similarity based Crossover - SSC). The use of validation sets is also investigated for both standard crossover and SSC. All GP systems are tested on a number of real-valued symbolic regression problems. The experimental results show that while...
Recently, growing numbers of research concentrate on robustness of the programs evolved using Genetic Programming (GP). While some of the researchers report on the brittleness of the solutions evolved, some others proposed methods of promoting robustness. It is important that these methods are not ad hoc and specific for a certain experimental setup. In this research, brittleness of solutions found...
Generalisation is one of the most important performance evaluationcriteria for artificial learning systems. An increasing amount ofresearch has recently concentrated on the robustness or generalisationability of the programs evolved using Genetic Programming (GP). Whilesome of these researchers report on the brittleness of the solutionsevolved, some others propose methods of promotingrobustness/generalisation...
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