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Optimetrics > Goal WeightIf an optimization setup has a cost function made up of multiple goals, you can assign a different weight to each goal. The goal with the greater weight is given more importance during the cost calculation. The error function value is a weighted sum of the sub-goal errors. Each sub-goal, at each frequency at which it is evaluated, gives rise to a (positive) error value that represents the discrepancy between the simulated response and the goal value limit. If the response satisfies the goal value limit, then the error value is 0. Otherwise, the error value depends on the differences between the simulated response and the respective goal limit. The error function may be defined as follows: where G is the number of sub-goals. Wj is the weight factor associated with the jth sub-goal. Nj is the number of frequencies for the jth sub-goal. ei is the error contribution from the jth sub-goal at the ith frequency. The value of ei is determined by the band characteristics, target value, and the simulated response value. The choices for band characteristics are <=, =, and >=.
If the total error value is within the acceptable cost, the optimization stops. Related Topics
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