For three or maybe more selection variables the trouble has no graphic representation. But the process is the same. You employ the branch and sure strategy to subdivide the feasible region by added constraints, eliminating the non-integer part of Every single variable, then remedy Just about every node by some linear programming approach, for examp

I'm trying to find a Resolution to get a convex optimization trouble (linear programming) and I am considering evolutionary algorithms. Do you believe it would be helpful?The method is very simple: It compares requirements impartial values, and when a solution satisfies these values. If only one criterion will not be pleased the project is unfeasib

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