A comparative study based on the Genetic Algorithm (GA) method for the optimal sizing of the standalone photovoltaic system in the Ngoundiane site.
A. SadioS. MbodjiI. FallP. L. T. SowPublished in: EAI Endorsed Trans. Energy Web (2019)
Keyphrases
- genetic algorithm ga
- hybrid ga
- hill climbing
- particle swarm optimization pso
- optimization algorithm
- genetic algorithm
- optimization method
- real coded
- parameter settings
- artificial neural networks
- objective function
- fitness function
- feature set
- convergence rate
- feature subset
- support vector machine
- classification accuracy
- wider range