Improvement of Wolf Pack Algorithm and Its Application to Logistics Distribution Problems

Table 3

Comparison of test function optimisation results.

Functions	Algorithms	Best value	Worst value	Average	Average deviation value
F1	Genetic algorithm	2.15E-05	1.0173	0.1302	0.1302
	Traditional Wolf Pack	4.55E-11	1.17E-05	1.65E-07	1.65E-07
	Improved Wolf Pack	4.55E-11	4.55E-11	4.55E-11	4.55E-11
F2	Genetic algorithm	8.63E-04	2.8217	0.64209	0.64209
	Traditional Wolf Pack	1.08E-10	5.76E-02	2.63E-03	2.63E-03
	Improved Wolf Pack	1.01E-10	1.94E-03	2.30E-04	2.30E-04
F3	Genetic algorithm	3.0094	96.9906	19.8777	16.8777
	Traditional Wolf Pack	3	3.0002	3 + 7.79E-06	7.79E-06
	Improved Wolf Pack	3	3 + 5.63E-09	3 + 1.47E-09	1.47E-09
F4	Genetic algorithm	−1.03068005	−0.122028	−0.754928	0.2767
	Traditional Wolf Pack	−1.03162779	−0.999872	−1.0276737	3.95E-03
	Improved Wolf Pack	−1.03162779	−1.03153801	−1.03161098	1.70E-05
F5	Genetic algorithm	−1.0174	−12.6704	−4.9979	4.9979
	Traditional Wolf Pack	−9.46E-09	−1.2372	−0.1319	0.1319
	Improved Wolf Pack	−9.46E-09	−9.46E-09	−9.46E-09	9.46E-09