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The plan/solution which is obtained in the
Weighted Aggregation
approach depends on
the shape of the
Pareto Front
and the
importance factors/penalties
used.
Planner is not aware if there exist a better
“choice”
on the
Pareto Front
just next door!
Inverse Optimisation and Planning
(2000 – today)
Create a single Objective Function via
weighted Aggregation
f
1
f
2
Planner:
w
1
f
1
+ w
2
f
2
w
´
1
f
1
+ w
´
2
f
2
???
Empirically estimated penalisation schemes,
found to result to „good“ dose distributions
are ussually saved as
presets / protocols /
class solutions
and can be used as starting points for the
individual patient plan optimisation process.