Genetic Algorithm Parameters – Parameters controlling GA behavior. For example, in cTrader’s implementation: Population Size (max passes per iteration), Max Iteration Count, Stagnation Period (how many generations with no improvement before stopping), Elite Percentage, Tournament Size Percentage (portion sampled to pick parents), Migrants Percentage (new random entries each generation), Mutation Percentage (what fraction of child genes to change), and Mutation Probability (chance each child is mutated). MT5’s genetic algorithm uses similar concepts (populations, generations, mutation rates) internally, but the main user controls are choosing “Fast Genetic” mode and selecting the optimization criterion.

Back to Robots Glossary Index