Table 2 GA algorithm parameters.
From: Optimal energy management applying load elasticity integrating renewable resources
Parameter | Values |
|---|---|
Population size | 50 |
Maximum number of iterations | 50 |
Crossover probability | 0.8 |
Mutation probability | 0.2 |
From: Optimal energy management applying load elasticity integrating renewable resources
Parameter | Values |
|---|---|
Population size | 50 |
Maximum number of iterations | 50 |
Crossover probability | 0.8 |
Mutation probability | 0.2 |