Parametric Genetic Programming

Pages: 1 - 7
Published: Dec 5, 2020
Abstract
In conventional Genetic Programming for regression problems, the whole population evolves to adapt to the training data. However, individuals cannot adjust themselves to provided data, which results in slow convergence. On the other hand, gradient-based methods such as gradient descent quickly converge toward the solution by using local gradient information. Local search methods can be applied in Genetic Programming at an individual level, thus...
Paper Details
Title
Parametric Genetic Programming
Published Date
Dec 5, 2020
Journal
Pages
1 - 7
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