PyGAD: an intuitive genetic algorithm Python library

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...

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Bibliographic Details
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
ISSN:	1573-7721, 1380-7501, 1573-7721
Online Access:	Get full text
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