An Epsilon-Greedy Mutation Operator Based on Prior Knowledge for GA Convergence and Accuracy Improvement: An Application to Networks Inference.
Mariana Recamonde MendozaAdriano Velasque WerhliAna L. C. BazzanPublished in: SBRN (2012)
Keyphrases
- mutation operator
- convergence rate
- genetic algorithm
- prior knowledge
- differential evolution
- crossover operator
- evolutionary algorithm
- population diversity
- genetic operators
- premature convergence
- genetic algorithm ga
- convergence speed
- evolutionary programming
- fitness function
- function optimization
- search direction
- crossover and mutation
- step size
- initial population
- crossover and mutation operators
- greedy algorithm
- hybrid genetic algorithm
- global convergence
- convergence analysis
- multi objective optimization
- optimization method
- evolutionary process
- evolutionary strategy
- computational efficiency
- search algorithm
- bayesian networks
- search capabilities
- optimization algorithm
- simulated annealing
- multi objective