matlab - How should I modify the initial guess for normalised version of optimisation task? -

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i solving large optimization problem. problem contains 500 decision variables , few hundred constraints. since constraints tight , nonlinear, random initial guess doesn't yield solution. fortunately have initial guess can solve problem. initial guess obtained solving problem in dynamic simulation software.

the problem , when normalize objective function ([minf-f(x)]/range), problem not converge solution. how should modify initial guess normalized version of problem?

i using matlab


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