Opened 9 years ago
Closed 8 years ago
#2584 closed feature request (done)
ConstantOptimization should be configurable to ignore variable weights
Reported by: | mkommend | Owned by: | mkommend |
---|---|---|---|
Priority: | medium | Milestone: | HeuristicLab 3.3.14 |
Component: | Problems.DataAnalysis.Symbolic.Regression | Version: | 3.3.13 |
Keywords: | Cc: |
Description
It is not always desirable to modify variable weights, when performing constant optimization. For example, it is possible to perform symbolic regression with constant variable weights of 1.0 and these weights should not be changed by constant optimization.
Change History (7)
comment:1 Changed 9 years ago by mkommend
- Status changed from new to accepted
comment:2 Changed 9 years ago by mkommend
- Owner changed from mkommend to gkronber
- Status changed from accepted to reviewing
comment:3 Changed 9 years ago by gkronber
- Owner changed from gkronber to mkommend
- Status changed from reviewing to assigned
Reviewed r13670:
- I think it would be better to hide the new Boolean parameter in the evaluators
- Thanks for changing order of parameters lowerEstimationLimits and upperEstimationLimits (note to self: check if all usages have been fixed)
- The change in GEArtificialAntEvaluator is ok. But I think it should be merged to the stable branch in an individual changeset.
comment:4 Changed 9 years ago by mkommend
- Summary changed from ConstantOptimization should be configurable to now change variable weights to ConstantOptimization should be configurable to ignore variable weights
comment:5 Changed 9 years ago by mkommend
- Owner changed from mkommend to gkronber
- Status changed from assigned to reviewing
r13916: Updated visibility (hidden attribute) for parameters of symbolic regression evaluators.
comment:6 Changed 8 years ago by gkronber
- Owner changed from gkronber to mkommend
- Status changed from reviewing to readytorelease
comment:7 Changed 8 years ago by mkommend
- Resolution set to done
- Status changed from readytorelease to closed
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r13670: Added parameter in constant optimization that determines whether variable weights should be modified.