PyGAD: an intuitive genetic algorithm Python library

• Published in: Multimedia tools and applications Vol. 83; no. 20; pp. 58029 - 58042
• Main Author: Gad, Ahmed Fawzy
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.06.2024; Springer Nature B.V
• Subjects: Computer Communication Networks; Computer Science; Data Structures and Information Theory; Deep learning; Genes; Genetic algorithms; Libraries; Multimedia; Multimedia Information Systems; Multiple objective analysis; Mutation; Optimization; Python; Special Purpose and Application-Based Systems; Deep learning; PyTorch; Genetic algorithm; Evolutionary algorithm; Keras; Optimization; NumPy; Python

This paper introduces PyGAD, an open-source easy-to-use Python library for building the genetic algorithm (GA) and solving multi-objective optimization problems. PyGAD is designed as a general-purpose optimization library with the support of a wide range of parameters to give the user control over i...