Li, S. and Tan, Q. (2025) Bankruptcy Prediction in the Polish Banking Industry Using Principal Component Analysis and BP ...

In today’s rapidly evolving world, technological advancements are dramatically reshaping industries and career landscapes.

Hands-On Genetic Algorithms with Python offers expert insights and practical knowledge to master genetic algorithms. After an introduction to genetic algorithms and their principles of operation, ...

Libraries such as NumPy, SciPy (for Python), and Eigen (for C++ ... Case Studies 6.1 Optimizing a Genetic Algorithm for Feature Selection《53g2.cc》 Genetic algorithms are commonly used for feature ...

[JMLR (CCF-A)] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization ... Artificial Neural Networks, Genetic Algorithms, Bayesian Learning, Fuzzy Logic, and Optimization Techniques ...

Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.

The University of Bayreuth's Biomaterials research group has, for the first time, successfully applied the CRISPR-Cas9 ...

Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...

To solve this problem, we propose several hybrid multipopulation genetic algorithms. First, a novel crossover operator for the genetic algorithms is designed, through which a single parent chromosome ...