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	𝑤	0.7	0.4	0.9	0.7	0.7
Acceleration constant	𝐶1	2	2	2	0.2	3.8
	𝐶2	2	2	2	0.2	3.8