Differential-evolution-based coevolution ant colony optimization algorithm for Bayesian network structure learning
DOI10.3390/A11110188zbMath1461.90202OpenAlexW2901364239MaRDI QIDQ1712049
Yuying Xue, Songmin Jia, Xiangyin Zhang, Xingyang Lu
Publication date: 21 January 2019
Published in: Algorithms (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3390/a11110188
ant colony optimizationdifferential evolutionBayesian networkstructure learningcooperative evolution
Programming involving graphs or networks (90C35) Learning and adaptive systems in artificial intelligence (68T05) Stochastic network models in operations research (90B15) Approximation methods and heuristics in mathematical programming (90C59)
Uses Software
Cites Work
- Unnamed Item
- Bayesian network modeling for evolutionary genetic structures
- Bayesian network learning algorithms using structural restrictions
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- Ant colony optimization for learning Bayesian networks.
- An optimization-based approach for the design of Bayesian networks
- A review on evolutionary algorithms in Bayesian network learning and inference tasks
- A Bayesian Network Learning Algorithm Based on Independence Test and Ant Colony Optimization
This page was built for publication: Differential-evolution-based coevolution ant colony optimization algorithm for Bayesian network structure learning