Feature Selection Based on Genetic Algorithm With Stochastic Disturbance Local Optimization
Author:
Affiliation:
1. China University of Petroleum(Beijing),College of Information Science and Engineering,Beijing,China,102249
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9754526/9754527/09754624.pdf?arnumber=9754624
Reference12 articles.
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3. Hybrid greedy genetic algorithm for solving 0-1 knapsack problem[J];zhe;Journal of Computer Applications,2021
4. WKNN Feature Selection Method Based on Self-Tuning Adaptive Genetic Algorithm[J/OL];qianru;Computer Engineering and Applications,2021
5. A hybrid particle swarm optimization for feature subset selection by integrating a novel local search strategy
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