params.yaml

---
### problem definition ###
solution_size: 20    # size of individuals, i.e: number of genes (required parameter)
lower_bound: 0       # minimum value for a gene (default: None)
upper_bound: 99      # maximum value for a gene (default: None)
#seed: 25            # set a fixed see for generating stochastic variables (default: None)

### optimizer params ###
pop_size: 5                     # number of solutions in the population (default: 10)
max_iterations: 10              # max number of generations (default: 1)
early_stopping_counter: 10      # number of iterations with no fitness improvemnt to stop (default: 10)
method: 'xBOA'                  # optimizer name (required, choose from 'BOA', 'ABOA', 'mBOA', 'SABOA', 'xBOA', 'xABOA')
method_params:                  # parameters for the optimizer (required)
  sensory_modality: 0.01        
  power_exponent: 0.1           
  switch_probability: 0.8       
  #mu: 2                        
verbosity_level: 1              # set log frequecy for pygmo optimizers, i.e: printing progress (default: None)