AmiBroker uses many, not one, smart evolutionary optimizer engines like for example Particle Swarm Optimization, Tribes and CMA-ES. Those are modern cutting-edge alternatives to pretty old and obsolete stuff that TS uses and are far superior to genetic, converging much faster and requiring much less parameters so you don't really need all that params you have in TS. In most cases you are fine with defaults and even if you need to modify parameters it is only number of evaluation/runs that needs to be modified, nothing else.
Just try. There is risk for curve fitting.
Try optimizing on more similar tickers (portfolio) and create a system
and parameter settings that works on different tickers and timeframes
to have the best OOS chance.