From: Development of particle swarm clustered optimization method for applications in applied sciences
Dimension | Result type | Result type | Algorithm | ||||
---|---|---|---|---|---|---|---|
PSCO | PSO | AGPSO | DMOA | INFO | |||
30 | F1 | Best | 1.15 × 10–150 | 2.35 × 10–56 | 1.39 × 10–18 | 3.14 × 10–4 | 6.45 × 10–57 |
Worst | 5.69 × 10–140 | 8.78 × 10–54 | 2.11 × 10–14 | 6.72 × 10–4 | 4.19 × 10–56 | ||
Average | 4.37 × 10–141 | 1.90 × 10–54 | 6.09 × 10–15 | 4.78 × 10–4 | 2.17 × 10–56 | ||
Rank | 1 | 3 | 4 | 5 | 2 | ||
F2 | Best | 6.67 × 10–1 | 6.67 × 10–1 | 6.67 × 10–1 | 5.9 | 6.67 × 10–1 | |
Worst | 6.67 × 10–1 | 6.67 × 10–1 | 6.67 × 10–1 | 8.35 | 6.67 × 10–1 | ||
Average | 6.67 × 10–1 | 6.67 × 10–1 | 6.67 × 10–1 | 7.02 | 6.67 × 10–1 | ||
Rank | 1 | 1 | 1 | 2 | 1 | ||
F3 | Best | 3.17 × 10–17 | 4.22 × 10–7 | 9.95 × 10–7 | 2.53 × 10+4 | 2.54 × 10–55 | |
Worst | 2.33 × 10–13 | 1.54 × 10–4 | 1.41 × 10–6 | 4.45 × 10+4 | 3.03 × 10–53 | ||
Average | 2.91 × 10–14 | 3.62 × 10–5 | 3.27 × 10–7 | 3.48 × 10+4 | 1.07 × 10–53 | ||
Rank | 2 | 4 | 3 | 5 | 1 | ||
50 | F1 | Best | 1.03 × 10–76 | 5.82 × 10–30 | 4.16 × 10–18 | 8.67 × 10+2 | 8.49 × 10–57 |
Worst | 6.88 × 10–71 | 1.5 × 10–27 | 1.5 × 10–13 | 1.17 × 10+3 | 2.09 × 10–55 | ||
Average | 5.05 × 10–72 | 4.63 × 10–28 | 1.23 × 10–14 | 1.03 × 10+3 | 6.72 × 10–56 | ||
Rank | 1 | 3 | 4 | 5 | 2 | ||
F2 | Best | 6.67 × 10–1 | 6.67 × 10–1 | 6.67 × 10–1 | 2 × 10+5 | 6.67 × 10–1 | |
Worst | 6.67 × 10–1 | 6.67 × 10–1 | 6.79 × 10–1 | 3.69 × 10+5 | 6.67 × 10–1 | ||
Average | 6.67 × 10–1 | 6.67 × 10–1 | 6.68 × 10–1 | 2.97 × 10+5 | 6.67 × 10–1 | ||
Rank | 1 | 1 | 1 | 2 | 1 | ||
F3 | Best | 2.29 × 10–3 | 1.70 | 9.64 × 10–1 | 1.31 × 10+5 | 1.2 × 10–53 | |
Worst | 6.37 × 10–1 | 7.20 × 10+1 | 5 × 10+3 | 2.11 × 10+5 | 2.43 × 10–52 | ||
Average | 7.14 × 10–2 | 2.30 × 10+1 | 3.38 × 10+2 | 1.76 × 10+5 | 6.03 × 10–53 | ||
Rank | 2 | 3 | 4 | 5 | 1 | ||
Final score | 8 | 15 | 17 | 24 | 8 | ||
Final Rank | 1 | 2 | 3 | 4 | 1 |