Opened 14 years ago
Last modified 9 years ago
#1255 accepted feature request
OffspringSelection criterion for symbolic regression with size constraints
Reported by: | mkommend | Owned by: | cfischer |
---|---|---|---|
Priority: | medium | Milestone: | HeuristicLab 3.3.x Backlog |
Component: | Problems.DataAnalysis.Symbolic.Regression | Version: | branch |
Keywords: | Cc: | maffenze |
Description
Implement a new OS criterion that takes the symbolic expression complexity into account. The complexity results as a linear combination of the expression size, expression depth and the variables used in the expression.
Attachments (2)
Change History (9)
comment:1 Changed 14 years ago by cfischer
- Owner changed from mkommend to cfischer
- Status changed from new to assigned
comment:2 Changed 14 years ago by cfischer
- Version changed from 3.3.2 to 3.3.1
comment:3 in reply to: ↑ description Changed 14 years ago by cfischer
comment:4 Changed 14 years ago by cfischer
- Status changed from assigned to accepted
comment:5 Changed 14 years ago by mkommend
- Version changed from 3.3.1 to branch
Changed 14 years ago by cfischer
Current version of OS Criterion logical with GenerationRanges and Lower/UpperBound for SymbolicRegression and Classification
Changed 14 years ago by cfischer
OS Criterion logical (added assembly reference to System.Core due to change to .NET 4; added trainings analyzer; added solution complexity for results)
comment:6 Changed 14 years ago by cfischer
- Cc maffenze added
comment:7 Changed 9 years ago by gkronber
- Component changed from ZZZ OBSOLETE: Problems.DataAnalysis.Regression to Problems.DataAnalysis.Symbolic.Regression
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The various complexity measures are calculated and scaled as follows:
4 weights are used for a linear combination of these 4 complexity measures.