This problem is a typical problem for evaluating performance in the field of Genetic Programming (GP ... The proposed CGP modularizes the output nodes, and module mutation is introduced to increase or ...

The evolution process of the emotion recognition module is one part of ongoing research on designing an intelligent agent capable of emotion recognition, interaction, and expression. Genetic ...

GP is a type of evolutionary algorithm that mimics the process of natural selection and variation. It starts with a population of randomly generated symbolic expressions, called individuals, that ...

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This plugin uses DEAP to implement a semantic segmentation backend plugin for Raster Vision. The plugin operates by using Genetic Programming to evolve raster algebra formulas to perform specific ...

Here, we describe a novel methodology that integrates genetic and physical interaction data. We use our method to identify a collection of functional modules related to chromosomal biology and to ...

A type of programming that imitates genetic algorithms. Genetic programming uses mutation and replication to produce algorithms that represent the "survival of the fittest." While genetic ...

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