Table 1 Parameters settings used for the genetic algorithms (GAs) and sequential quadratic programming (SQP)
Methods | Parameters | Settings | Parameters | Settings |
|---|---|---|---|---|
GAs | Population creation | Uniform | Individual size | 9, 19, 49 |
‘PopulationSize’ | 200 | ‘Generation’ | 400 | |
Selection function | Stochastic uniform | FunctionTolerance ‘TolFun’ | 10−24 | |
Initial population range | [−0.5, 0.5] | ConstraintTolerance ‘TolCon’ | 10−24 | |
Crossover function | @crossoverheuristic | Lower bounds for all entries | −5 | |
Mutation function | @mutationadaptivefeasible | Upper bounds for all entries | 5 | |
‘EliteCount’ | 4 | ‘StallGenLimit’ | 100 | |
‘FitnessLimit’ | 10−15 | Other | Defaults | |
SQP | Initial weights | Global best of GAs | Bounds [lower, upper] | [−5, 5] |
Algorithm | ‘SQP’ | Finite difference | ‘Central’ | |
Maximum iterations | 1000 | ‘TolX’ | 10−15 | |
Function counts | 150,000 | ‘TolCon’ | 10−24 | |
Other | Defaults | ‘TolFun’ | 10−24 |