A robust adaptive hierarchical learning crow search algorithm for feature selection
Feature selection is a multi-objective problem, which can eliminate irrelevant and redundant
features and improve the accuracy of classification at the same time. Feature selection is a …
features and improve the accuracy of classification at the same time. Feature selection is a …
[HTML][HTML] A Test Report Optimization Method Fusing Reinforcement Learning and Genetic Algorithms
R Bai, R Chen, X Lei, K Wu - Electronics, 2024 - mdpi.com
Filtering high-variability and high-severity defect reports from large test report databases is a
challenging task in crowdtesting. Traditional optimization algorithms based on clustering …
challenging task in crowdtesting. Traditional optimization algorithms based on clustering …
Regression Test Case Selection Based on multi-objective Optimization and Improved Harmonic Search Algorithms
K Han, Y Song, Y Zhang - 2023 IEEE 11th International …, 2023 - ieeexplore.ieee.org
Regression testing is a method for catching errors generated during version updates of a
product. Retesting all existing test cases is its most reliable strategy, but the resulting testing …
product. Retesting all existing test cases is its most reliable strategy, but the resulting testing …