A New Logistic Dynamic Particle Swarm Optimization Algorithm Based on Random Topology

Table 2

Settings of benchmark functions.

Benchmark function	Dimension	Optimal value	Optimal solution	Range	Accepted error
Sphere	30	0	(0, 0, 0, …, 0)	(−100, 100)	0.01
Schaffer's F6	2	0	(0, 0)	(−100, 100)	0.00001
Rastrigin	30	0	(0, 0, 0, …, 0)	(−5.12, 5.12)	100
Schwefel	30	0	(0, 0, 0, …, 0)	(−500, 500)	6000
Ackley	30	0	(0, 0, 0, …, 0)	(−30, 30)	5