Stochastic Constriction Cockroach Swarm Optimization for Multidimensional Space Function Problems

Table 17

Average perfomance of LSRS and SCCSO.

Algorithm	Ackley	Levy	Quadric	Rastrigin	Rosenbrock	Schwefel	Sphere	Sum Square
Dim 50
LSRS	−6.5𝐸−19	2.9𝐸−39	2.33𝐸−18	0.00	1.38𝐸−18	1.91𝐸−11	1.38𝐸−18	1.42𝐸−18
SCCSO	8.88𝐸−16	5.01	7.25𝐸−31	0.00	4.90𝐸01	1.02𝐸−28	2.62𝐸−28	4.54𝐸−28
Dim 100
LSRS	−6.5𝐸−19	2.9𝐸−39	1.15𝐸−15	0.00	6.94𝐸−16	3.98𝐸−10	6.94𝐸−16	6.98𝐸−16
SCCSO	7.63𝐸−14	9.56	3.35𝐸−27	0.00	9.90𝐸01	1.54𝐸−29	1.94𝐸−27	1.95𝐸−27
Dim 500
LSRS	−4.3𝐸−19	2.9𝐸−39	4.31𝐸−11	0.00	2.61𝐸−11	4.08𝐸−19	9.0𝐸−16	7.96𝐸−35
SCCSO	1.42𝐸−15	4.59𝐸01	2.23𝐸−32	0.00	4.99𝐸02	3.37𝐸−31	6.14𝐸−23	5.18𝐸−22
Dim 1000
LSRS	1.3𝐸−18	2.9𝐸−39	1.38𝐸−29	0.00	7.41𝐸−27	1.12𝐸−17	1.25𝐸−18	7.35𝐸−33
SCCSO	2.84𝐸−15	9.13𝐸01	3.26𝐸−33	0.00	10.0𝐸02	2.68𝐸−30	1.61𝐸−30	8.14𝐸−25
Dim 2000
LSRS	−4.3𝐸−19	2.9𝐸−39	1.69𝐸−7	0.00	1.48𝐸−26	3.08𝐸−17	2.35𝐸−33	1.27𝐸−30
SCCSO	1.07𝐸−16	1.82𝐸02	1.92𝐸−29	0.00	2.00𝐸03	9.85𝐸−28	1.19𝐸−30	1.29𝐸−22