SPLOT
& LVAT models, IBEA vs. NSGA-II, all the best strategies.
Extending
3 papers: ICSE’13, CMSBSE’13, and ASE’13.
|
|
SPLOT
|
LVAT
|
Unified
approach
|
|
|
20
models
|
7
models
|
More
models?
|
|
|
43
– 290 features
|
544
– 6888 features
|
|
|
Continuous
dominance vs. Boolean dominance
|
7
algorithms (ICSE’13)
5
algorithms (TSE)
|
2
algorithms (ASE’13)
|
5
algorithms
|
|
Best
parameters
|
Pop
= 50, crossover = 0, mutation = 0.5/FEATURES
(RESER’13)
|
Pop
= 300, crossover = 0.05, mutation = 0.001
(not
thoroughly tested)
|
??
|
|
Tree
Mutation
|
TSE
|
ASE’13
(feature fixing)
|
Argue
that they’re almost the same
|
|
Give
more weight to constraint satisfaction
(8
objectives)
|
|
|
Run
5-obj vs. 8-obj for all 27 models.
|
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