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title
About GP
description
About Genetic Programming Genetic Programming (GP) is a type of Evolutionary Algorithm (EA), a subset of machine learning. EAs are used to discover solutions to problems humans do not know how to solv
site name
Genetic Programming
author
updated
2025-12-20 15:45:58
raw text
Genetic Programming – An Evolutionary Algorithm for Machine Learning About GP History Software Benchmarks Conferences Groups and Lists Publications Bibliography Journals Recent Work Books Contact Us About GP Kai Staats 2019-06-01T22:24:00+00:00 About Genetic Programming Genetic Programming (GP) is a type of Evolutionary Algorithm (EA), a subset of machine learning. EAs are used to discover solutions to problems humans do not know how to solve, directly. Free of human preconceptions or biases, the adaptive nature of EAs can generate solutions that are comparable to, and often better than the best human efforts. * Inspired by biological evolution and its fundamental mechanisms, GP software systems implement an algorithm that uses random mutation, crossover, a fitness function, and multiple generations of evolution to resolve a user-defined task. GP can be used to discover a functional relationship between features in data (symbolic regression...
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