| Name | Short Name | Type | Description |
| DE algorithm type | type | string | Type of Differential Evolution |
| Population size | popsize | integer | The typical population size is 10 times the number of parameters, thus 50 for Thinness Ratio optimization. |
| Maximum generations | genmax | integer | |
| Weight | weight | real | 0-1 value of weighting factor of parameter differences |
| Crossover | crossover | real | 0-1 value of probability of modifying a given parameter |
| Selection Type | selectiontype | string | How is the new generation selected |
| Random Seed | randomseed | integer | Random numbers used to mutate parameters are generated from this seed, therefore repeated runs will yield the same results. |