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Pareto optimum in multi-criteria planning
Multi-criteria planning:
- conflicting constraints!
- the quality on every solution depends on more than one attribute
- for each choice of parameters the different criteria are measured by a
set of
N
objective functions
- attained values constitute a criterion vector, which has to be minimized
- no combination in which the criterion vector is optimal, so:
best solution is ‘set of optimal compromises’
this solution is Pareto optimal under the given constraints