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Weighted Sum

Assign percentage weights to each objective to get a single best solution (Prioritize mode).

Weighted Sum

Prioritize mode β€” Assign percentage weights to each objective.

All objectives are combined into a single score using the weights you assign. The optimizer maximizes (or minimizes) that combined score, returning one best solution per iteration.


How Weights Work

  • Each objective gets a slider from 0% to 100%.

  • All weights must sum to 100%. Adjusting one slider rebalances the others automatically.

  • You can lock a slider to freeze its weight while you adjust the rest. You can lock at most n-2 sliders (where n is the number of objectives).

  • With three equally important objectives, each starts at 33.33%.

When to Use It

  • You can express relative importance as percentages.

  • You want a single best recommendation per iteration.

  • The objectives are somewhat commensurable β€” trading a little of one for a little of another makes practical sense.

Example

Optimizing a flow-chemistry process:

  • Maximize yield β€” weight: 70%

  • Minimize cost β€” weight: 30%

The optimizer finds conditions that give the best balance, heavily favoring yield but still keeping an eye on cost.


Good to Know

  • Locking a slider is useful when you have settled on one weight and want to adjust the balance among the remaining objectives.

  • Works well when objectives are comparable in nature. If they are not, consider Hierarchy instead.

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