Parameter Identification of the 2-Chlorophenol Oxidation Model Using Improved Differential Search Algorithm

Table 1

Objective function values obtained by different algorithms.

Algorithms	Best	Average	Worst
DE [10]	0.217685	0.217725	0.218037
PSO [10]	0.217685	0.217819	0.218733
Hierarchical differential evolution [10]	0.217685	0.217685	0.217685
ABC [12]	0.233919	0.292802	0.421080
Hybrid ABC (HABC) [12]	0.217685	0.217685	0.217685
QPSO [29]	0.2176855	0.2177133	0.2178465
DS(1)	0.222266	0.252299	0.287777
DS(2)	0.2176850	0.2176855	0.217689
DS(lhs)	0.222360	0.248886	0.308399
Improved DS(1)	0.2176850	0.2176850	0.2176850
Improved DS(2)	0.2176850	0.2176850	0.2176850

Note: DS(1) represents the iteration number which is 500; DS(2) represents the iteration number which is 10000; DS(lhs) represents the initial population which is generated by Latin hypercube sampling; Improved DS(1) represents the simplex method which is used according to the sequential order; Improved DS(2) represents the other hybrid method, whose total iteration number is 5.