Table 2.

Genetic algorithm (GA) and particle swarm optimization (PSO) algorithm parameters.

GA Parameters		PSO Parameters
Population Size	20	Population Size	20
Maximum Number of Iterations	1000	Maximum Number of Iterations	1000
Crossover Percentage	0.7	Inertia Weight	1
Mutation Percentage	0.5	Inertia Weight Damping Ratio	0.99
Mutation Rate	0.1	Personal Learning Coefficient	1
Selection Pressure	8	Global Learning Coefficient	2
Gamma	0.2