🚀 go-pugleaf

Hi,

    I'm not a math student and just started to know about numerical
optimization a couple of weeks ago. However, I need to optimize an upto
200 variables nonlinear (quadractic and maybe trigonometric) objective
functions under many nonlinear (trigonometric) constraints. I have no
expectation to find global optimum. Just hope to obtain some good
acceptable results. Would anyone please help suggesting a reliable 
constrained optimization method that I may program to deal with my
problem. I was suggested about Penalty Function and think it's quite
interesting. However, I have no idea if some other methods will
work better (generally). Also, if I use Penalty Function method, what
unconstrained optimization method should I attempt to implement? Is
there a ftp-able software about this that I may use directly without
having to program myself?


Any suggestion would be very appreciated,

T. Tanprasert