This project demonstrates a genetic programming implementation to approximate a target function. The code includes explanations and examples for each part.

This repository contains code for implementing genetic programming for symbolic regression. The code uses a genetic algorithm to evolve a population of trees to find the best regression for a given ...

Genetic programming (GP) represents a class of evolutionary algorithms that automates the creation of computer programmes to solve complex problems. Coupled with symbolic regression (SR), which aims ...

Romera-Paredes and colleagues’ work is the latest step in a long line of research that attempts to create programs automatically by taking inspiration from biological evolution, a field called genetic ...

ABSTRACT: High energy sub-nuclear interactions are a good tool to dive deeply in the core of the particles to recognize their structures and the forces governed. The current article focuses on using ...

Abstract: Reversible computing has garnered significant attention as a promising avenue for achieving energy-efficient computing systems, particularly within the realm of quantum computing. The ...

Abstract: As the complexity of integrated circuit (IC) design continues to increase, electronic design automation (EDA) tools play an increasingly critical role in the chip design process. Cloud ...