The Generator uses random algorithm. Theoretically, if you run the Generator for an unlimited time, you will receive the optimal strategy for the data set. However, we don't need this. Such a strategy will be over-optimized for the current data.

We intentionally made the generator exploring different strategy rules at each cycle. In that way we prevent repeating results from the calculations. If the calculation route was fixed, the generator would repeat equal calculations and results each time. So, for example, every time you start, you would receive $12500 at 1st minute, $14700 at the 2nd min....

Each cycle of the generator is independent and has equal chance to produce a particular strategy. The Generator creates a random strategy and checks if its profit is among the top 10 generated profits. If the profit is satisfactory, the Generator checks if the strategy satisfies the limitations as count of ambiguous bars, max drawdown or win-loss ratio. If this conditions are fulfilled, the Generator accepts the strategy. We can say that longer work of the generator will produce more and more profitable strategies.  Unfortunately there is no an easy way to determine if a strategy is over-optimized or not.
If we find a clear criterion for determination of the rate of over-optimization, we'll include it in the Generator's limitations and we'll be sure that the shown strategies are acceptable.

For now, we first generate a strategy and after that we are trying to determine its robustness according to our experience. The Analyzer tool can help: menu Analysis - Over-optimization report.