Research Article
Application of Particle Swarm Optimization Algorithm in the Heating System Planning Problem
Table 4
The parameters of each case in Figures
8 and
9.
| Variable | Symbol | Value | Case 1 | Case 2 | Case 3 | Case 4 | Case 5 |
| Population size | — | 100 | 100 | 100 | 100 | 100 | Maximum iteration number | — | 1000 | 1000 | 1000 | 1000 | 1000 | Inertia weight | | 0.7 | 0.4 | 0.9 | 0.7 | 0.7 | Acceleration constant | | 2 | 2 | 2 | 0.2 | 3.8 | | 2 | 2 | 2 | 0.2 | 3.8 |
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