Wolf Pack Algorithm for Unconstrained Global Optimization

Table 7

Sensitivity analysis of the maximum number of repetitions in scouting behavior (𝑇_max).

Functions	Mean ± Std (SR/%) (the default of SR is 100%)
	6	8	10	12	14	16	18
Rosenbrock	2.4𝑒−8±2.6𝑒−8	8.4𝑒−9±8.0𝑒−9	1.3𝑒−8±1.3𝑒−8	1.4𝑒−8±1.0𝑒−8	2.0𝑒−8±1.9𝑒−8	2.1𝑒−8±2.5𝑒−8	1.2𝑒−8±8.9𝑒−9
Colville	4.8𝑒−7±2.2𝑒−7	3.4𝑒−7±1.8𝑒−7	1.5𝑒−7±1.2𝑒−7	3.8𝑒−7±2.0𝑒−7	3.6𝑒−7±3.7𝑒−7 (96)	3.4𝑒−7±2.5𝑒−7	2.6𝑒−7±1.5𝑒−7
Sphere	7.1𝑒−147±2.2𝑒−146	4.5𝑒−146±9.0𝑒−146	7.8𝑒−146±2.3𝑒−145	1.9𝑒−148±5.3𝑒−148	5.7𝑒−148±1.3𝑒−147	6.9𝑒−145±2.2𝑒−144	3.6𝑒−147±1.1𝑒−146
Sumsquares	4.1𝑒−146±1.3𝑒−145	2.4𝑒−149±4.8𝑒−149	4.2𝑒−149±1.3𝑒−148	8.3𝑒−150±2.6𝑒−149	8.5𝑒−147±2.7𝑒−146	5.4𝑒−146±9.0𝑒−146	1.4𝑒−151±4.4𝑒−151
Booth	3.2𝑒−11±2.9𝑒−11	4.2𝑒−11±2.7𝑒−11	2.5𝑒−11±1.5𝑒−11	2.1𝑒−11±1.5𝑒−11	3.2𝑒−11±2.5𝑒−11	2.6𝑒−11±1.8𝑒−11	2.6𝑒−11±2.7𝑒−11
Bridge	3.0054±4.7𝑒−16	3.0054±4.7𝑒−16	3.0054±4.7𝑒−16	3.0054±4.7𝑒−16	3.0054±4.7𝑒−16	3.0054±4.7𝑒−16	3.0054±4.7𝑒−16
Ackley	8.9𝑒−16±0	8.9𝑒−16±0	8.9𝑒−16±0	8.9𝑒−16±0	1.2𝑒−15±1.1𝑒−15	8.9𝑒−16±0	8.9𝑒−16±0
Griewank	0.10±0.33 (92)	0±0	1.0𝑒−3±0.02 (98)	0.09±0.31 (88)	0±0	0.09±0.29 (94)	8.3𝑒−4±0.02 (98)