An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution.
Rodrigo Oliveira SilvaCamila Martins SaporettiZaher Mundher YaseenEgberto PereiraLeonardo GoliattPublished in: Neural Comput. Appl. (2023)
Keyphrases
- differential evolution
- convolutional neural networks
- evolutionary algorithm
- optimization algorithm
- differential evolution algorithm
- parameter optimization
- convergence speed
- particle swarm optimization
- optimization method
- constrained optimization problems
- numerical optimization problems
- mutation operator
- particle swarm optimization pso
- test functions
- hybrid algorithm
- premature convergence
- genetic algorithm
- direct search
- adaptive differential evolution
- multi objective
- multi objective optimization
- convolutional network
- solving global optimization problems
- evolutionary programming
- real coded
- evolution strategy
- harmony search
- multi objective optimization problems
- artificial bee colony
- evolutionary strategy
- prediction model
- function optimization problems
- initial population
- pso algorithm
- global optimization
- biogeography based optimization
- control system
- nsga ii
- ant colony algorithm