Table 11 Results of GGO algorithm compared to others optimization algorithms using Ackley function.
From: Greylag goose optimization and multilayer perceptron for enhancing lung cancer classification
Metric | Ackley (bGGO) | Ackley (bSC) | Ackley (bMVO) | Ackley (bPSO) | Ackley (bWOA) | Ackley (bGWO) | Ackley (bFA) |
|---|---|---|---|---|---|---|---|
Average error | 0.327 | 0.363 | 0.371 | 0.378 | 0.415 | 0.443 | 0.451 |
Average Select size | 0.314 | 0.345 | 0.353 | 0.358 | 0.394 | 0.416 | 0.424 |
Average Fitness | 0.482 | 0.516 | 0.535 | 0.541 | 0.552 | 0.559 | 0.563 |
Best Fitness | 0.471 | 0.502 | 0.515 | 0.519 | 0.526 | 0.534 | 0.542 |
Worst Fitness | 0.517 | 0.553 | 0.573 | 0.578 | 0.587 | 0.594 | 0.605 |
Standard deviation Fitness | 0.263 | 0.292 | 0.302 | 0.307 | 0.318 | 0.326 | 0.332 |