This page is meant to demonstrate how adjusting different parameters of the genetic algorithm affect its performance. Choose from the 5 presets below and observe their inital populations, maximum sum (fitness) over time, how many generations it took to find a solution, and the best arrays of each generation. Below, the performace graph, initial population graph, and best array of each generation are shown. Refer to the tutorials page for more information on the results of each preset. The parameters corresponding to each preset are as follows:
| Preset | Array Size | Population Size | Selection Proportion | Mutation Probability |
|---|---|---|---|---|
| Standard | 6 | 10 | 0.5 | 0.05 |
| Bigger | 10 | 20 | 0.5 | 0.05 |
| Low Selection | 10 | 20 | 0.1 | 0.05 |
| Low Population | 10 | 3 | 0.5 | 0.05 |
| High Mutation | 10 | 20 | 0.5 | 0.4 |