Research map / Learning theory and algorithms / Combinatorial and search optimization
Derivative-Free Optimization via Classification
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| RACOS vs USC, RLS, UMDA on RatioCut clustering | RACOS · 5 UCI datasets | objective value: w/t/l 0/0/5 for each baseline | Helped |
| RACOS vs GA | RACOS · 5 UCI datasets | objective value: GA w/t/l to RACOS 0 / 3 / 2 | Helped |
| RACOS vs CE | RACOS · 5 UCI datasets | objective value: CE w/t/l to RACOS 0 / 1 / 4 | Helped |
| RACOS vs SOO, REMBO, CMA-ES on Sphere/Ackley (n up to 1000) | RACOS · Sphere, Ackley | objective value vs dimension | Helped |
| RACOS vs SOO, REMBO, CMA-ES on convergence (n=500) | RACOS · Sphere, Ackley | objective vs evaluations | Helped |
| RACOS vs CCCP on Ramp-loss classification, small C | RACOS · USPS+N | objective value | Hurt |
| RACOS vs CCCP on Ramp-loss classification, large C | RACOS · Adult, USPS+N | objective value | Helped |
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