Table 2 Setting of algorithm parameters
From: Optimization of Fixture Number in Large Thin-Walled Parts Assembly Based on IPSO
Parameter symbol | Parameter description | Parameter value |
|---|---|---|
\(NP\) | Number of particles | 40 |
\(G\) | Number of iterations | 25 |
\(D\) | Variable dimension, \(D={N}^{*}\) | 42 |
\({c}_{1}\) | Individual learning factor of particles | 2.05 |
\({c}_{2}\) | Social learning factor of particles | 2.05 |
\([{{\omega }_{\mathrm{min}},\omega }_{\mathrm{max}}]\) | Inertia weight variation range | [0.4, 0.9] |
[\({V}_{\mathrm{min}}, {V}_{\mathrm{max}}\)] | Particle velocity variation range | [−95, 95] |