Different values in ga variables.

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Alessandro Novero
Alessandro Novero 2018-8-20
回答： Alan Weiss 2018-8-21
Hello everybody. I'm trying to implement an algorithm that minimize Delta_V for an interplanetary mission. My professor would be that I use ga routine. I have a problem with 6 variables with two linear constraints, like x(1)=x(4) and x(2)=x(5). Now, I wrote my code and I think that's correct (I'm not so sure) but I have a problem with the 6 variables. Every time that I start the code the result is the same for Delta_V (It's ok) but the variables always change (a lot !!). I wrote Upper limit and Lower limit but the result doesn't change. This 6 variables are important because I must use them to create another code. What can I do?
Thank you in advance.
  2 个评论
Chad Greene
Chad Greene 2018-8-20
I'm not familiar with the term ga. Can you please define it? In addition to clearly defining the goal, I think it will help if you can upload enough code for us to replicate the problem.
Alessandro Novero
Alessandro Novero 2018-8-20
ga is genetic algorithm routine of the optimization toolbox .

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回答（1 个）

Alan Weiss
Alan Weiss 2018-8-21
If your objective function is smooth, you should not use ga, but instead use fmincon starting from a variety of initial points, perhaps by using MultiStart.
If your objective function is not smooth, use patternsearch starting from a variety of initial points as suggested here.
If your objective function is given by a simulation or solution of an ordinary differential equation, see Optimizing a Simulation or ODE for suggestions and caveats, especially about choosing larger finite difference steps in fmincon.
Good luck,
Alan Weiss
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