Adaptive Parameters for a Modified Comprehensive Learning Particle Swarm Optimizer

Table 1

Detailed information of the test functions used in the paper.

No.	Function	Search range	𝐱^∗	𝑓(𝐱^∗)	Required accuracy
𝑓1	Sphere	[−100,100]^𝐷	[0,0,…,0]	0	0.000001
𝑓2	Rosenbrock	[−2.048,2.048]^𝐷	[1,1,…,1]	0	0.01
𝑓3	Schwefel	[−500,500]^𝐷	[420.96,420.96,…,420.96]	0	0.01
𝑓4	Rastrigin	[−5.12,5.12]^𝐷	[0,0,…,0]	0	0.01
𝑓5	Griewank	[−600,600]^𝐷	[0,0,…,0]	0	0.000001
𝑓6	Ackley	[−32.768,32.768]^𝐷	[0,0,…,0]	0	0.000001
𝑓7	Weierstrass	[−0.5,0.5]^𝐷	[0,0,…,0]	0	0.000001