A Convergent Differential Evolution Algorithm with Hidden Adaptation Selection for Engineering Optimization

Table 7

The function values achieved via SaDE for test problems (T01–05).

FEs		T01	T02	T03	T04	T05
5𝐸4	Best	0.000000𝐸+00	−2.547346𝐸+01	1.151489𝐸−05	1.474962𝐸+01	−2.965491𝐸+01
	Median	1.230606𝐸+01	−1.651099𝐸+01	1.151489𝐸−05	2.107781𝐸+01	−2.339049𝐸+01
	Worst	2.069471𝐸+01	−1.017972𝐸+01	1.151489𝐸−05	2.410711𝐸+01	−2.124083𝐸+01
	Mean	1.199518𝐸+01	−1.797113𝐸+01	1.151489𝐸−05	2.068582𝐸+01	−2.418576𝐸+01
	Std.	6.105013𝐸+00	4.391106𝐸+00	3.000000𝐸−16	2.138599𝐸+00	2.181301𝐸+00
1𝐸5	Best	0.000000𝐸+00	−2.842249𝐸+01	1.151489𝐸−05	1.474962𝐸+01	−3.272771𝐸+01
	Median	1.230606𝐸+01	−2.602234𝐸+01	1.151489𝐸−05	2.107781𝐸+01	−2.584935𝐸+01
	Worst	2.069471𝐸+01	−1.819737𝐸+01	1.151489𝐸−05	2.410711𝐸+01	−2.371424𝐸+01
	Mean	1.199518𝐸+01	−2.459705𝐸+01	1.151489𝐸−05	2.068582𝐸+01	−2.723624𝐸+01
	Std.	6.105013𝐸+00	3.451965𝐸+00	3.000000𝐸−16	2.138599𝐸+00	2.564945𝐸+00
1.5𝐸5	Best	0.000000𝐸+00	−2.842253𝐸+01	1.151489𝐸−05	1.474962𝐸+01	−3.387944𝐸+01
	Median	1.230606𝐸+01	−2.648390𝐸+01	1.151489𝐸−05	2.107781𝐸+01	−2.856424𝐸+01
	Worst	2.069471𝐸+01	−1.820793𝐸+01	1.151489𝐸−05	2.410711𝐸+01	−2.575636𝐸+01
	Mean	1.199518𝐸+01	−2.529978𝐸+01	1.151489𝐸−05	2.068582𝐸+01	−2.944785𝐸+01
	Std.	6.105013𝐸+00	3.419653𝐸+00	3.000000𝐸−16	2.138599𝐸+00	2.562794𝐸+00