The Scientific World Journal / 2013 / Article / Tab 4

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.

VariableSymbolValue
Case  1Case  2Case  3Case  4Case  5

Population size100100100100100
Maximum iteration number10001000100010001000
Inertia weight 0.70.40.90.70.7
Acceleration constant 2220.23.8
2220.23.8

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