From: Enhanced stochastic optimization algorithm for finding effective multi-target therapeutics

Gur Game algorithm (simultaneous) | Gur Game algorithm (sequential) | Proposed algorithm | |||||
---|---|---|---|---|---|---|---|

success rate | # of iterations | success rate | # of iterations | success rate | # of iterations | ||

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 | |

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 | |

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 | |

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 |