Table 1 Performance of the proposed stochastic optimization algorithm.
From: Enhanced stochastic optimization algorithm for finding effective multi-target therapeutics
| Â | Gur Game algorithm (simultaneous) | Gur Game algorithm (sequential) | Proposed algorithm | ||||
|---|---|---|---|---|---|---|---|
success rate | # of iterations | success rate | # of iterations | success rate | # of iterations | Â | Â |
PEAKS | λ = 0.95 | 0.84 | 82.1 | 0.82 | 111.7 | 0.95 | 56.6 |
P = 5% | 0.96 | 29.6 | 0.97 | 37.9 | 1.00 | 20.6 | Â |
DE JONG (2ND) | λ = 0.95 | 0.09 | 43.1 | 0.09 | 39.9 | 1.00 | 56.7 |
P = 5% | 0.12 | 28.6 | 0.12 | 30.1 | 1.00 | 49.5 | Â |
CANCER | λ = 0.95 | 0.63 | 16.3 | 0.62 | 18.8 | 0.94 | 13.1 |
P = 10% | 0.68 | 15.1 | 0.64 | 18.2 | 0.95 | 12.6 | Â |
BACTERIAL | λ = 0.95 | 0.91 | 4.0 | 0.90 | 5.0 | 0.99 | 4.6 |
P = 10% | 0.71 | 7.2 | 0.73 | 9.6 | 0.75 | 7.6 | Â |