Genetic Algorithm - Case by Case Optimization

Hi All,

I may be asking a stupid question, but is there a way to optimize on a case by case basis without needing to change the input parameters all the time? I shall give you a brief background. I am trying to optimize a trajectory, starting on date A. The variables to be optimized are the time flown, and a trajectory shaping factor, and the function to be minimised is the fuel calculation (fuel burnt). There are bounds on the time flown. I can do it for starting date A (which has an effect on the fuel calculation). I now want to store those optimal values, and move to start date B, optimise for that case, store, move to start date C, etc etc. Is it possible?

[Matt J]

You can certainly use ga() within a loop to solve a sequence of problems, if that's what you're asking.

[Harvey Rael]

How would I do that? Do I need to pass my code?