I am seeking an optimization routine that can deal with the following problem: Maximize g(x), where x is a vector and g is nonlinear, subject to linear constraints of the form h(x)>0 and m(x)=0 and subject to the constraint that all values of x are 0 or 1. I can't find a nonlinear optimization program in R that states that it can accommodate 0-1 constraints. Oddly, Excel's Solver will produce a solution to such problems but (1) I don't trust it and (2) it cannot handle a large number of constraints. Thanks, all!
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