8 votes

Is there a canonical name for Score Folding (multiplying a priority soft constraint by a big weight)?

It's not exactly the same thing, but very close: in goal programming, using a weighted combination of the deviations from goals is often called "Archimedean" (as in "Archimedean" goal programming, or ...
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7 votes

Is there a canonical name for Score Folding (multiplying a priority soft constraint by a big weight)?

The act of moving soft constraint into the objective function using penalties is closely related to Lagrangian Relaxation and Lagrangian Multipliers. The method penalizes violations of [...] ...
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6 votes
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Difficulties with Finding a Proper Penalty Value for the Progressive Hedging Algorithm

This problem is addressed in some detail in Section 2.1 of the paper Progressive hedging innovations for a class of stochastic mixed-integer resource allocation problems by Watson and Woodruff (a non-...
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4 votes

Is there a canonical name for Score Folding (multiplying a priority soft constraint by a big weight)?

I’m not sure I’ve heard a canonical name, but that sounds like a multi-objective optimization problem where you’re minimizing the sum of weighted deviations. The weights are based on the constraint ...
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4 votes

Is there a canonical name for Score Folding (multiplying a priority soft constraint by a big weight)?

One common way I've seen in the literature to deal with such cases is to multiply the priority constraint by a big weight and add it into the fitness function alongside the lower priority constraint. ...
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3 votes

Extract info from Gurobi binary variables during run-time

We can't modify the optimisation problem while it's being solved. What you could try instead is to solve once (maybe with a lax convergence criterion), add/update the constraints based on that ...
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