I have minimization problem which got a nonlinear objective function, a couple of equality constraints, and dozens of nonlinear constraints. There is a very simple given in MATLAB which does not contian any constraints other than objective function and starting point.
In this example inputs are only two things a function and strating points.
[x,fval,exitFlag,output] = simulannealbnd(ObjectiveFunction,x0)
Whereas I want to use following kind of function
function [x, fval, exitflag, output] = simulanneal(FUN, x0, Aineq, bineq, Aeq, beq, lb, ub, options)
which is given in the MATLAB documentations with the name of "simulanneal.m" file. Since, I want to give Aineq, bineq, lb, ub as well along with FUN and x0.
How can I implement such kind problem in MATLAB Simulated Annealig Optimization Toolbox?