An improved evolutionary approach-based hybrid algorithm for Bayesian network structure learning in dynamic constrained search space.
Jingguo DaiJia RenWencai DuVladimir ShikhinJixin MaPublished in: Neural Comput. Appl. (2020)
Keyphrases
- hybrid algorithm
- search space
- genetic algorithm
- bayesian network structure learning
- optimal solution
- simulated annealing
- tabu search
- particle swarm optimization
- hill climbing search
- imperialist competitive algorithm
- hybrid optimization algorithm
- artificial bee colony algorithm
- metaheuristic
- differential evolution
- particle swarm optimization pso
- ant colony optimization
- standard test problems
- hybrid method
- hybrid algorithms
- optimization method
- graph theoretic
- search strategy
- evolutionary computation
- bayesian networks
- hill climbing
- global optimum
- neural network
- artificial neural networks
- machine learning