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

Table 8

The function values achieved via SaDE for test problems (T06, 07, 10, 12, 13).

FEs		T06	T07	T10	T12	T13
5𝐸4	Best	−1.686549𝐸+01	6.804249𝐸−01	−2.177440𝐸+01	9.463884𝐸+00	1.062508𝐸+01
	Median	−1.173179𝐸+01	1.042188𝐸+00	−2.136835𝐸+01	1.545941𝐸+01	2.000271𝐸+01
	Worst	—	1.738322𝐸+00	−1.798882𝐸+01	1.901426𝐸+01	2.434862𝐸+01
	Mean	—	1.123239𝐸+00	−2.116746𝐸+01	1.450659𝐸+01	1.892074𝐸+01
	Std.	—	3.236158𝐸−01	8.397006𝐸−01	2.463023𝐸+00	3.421109𝐸+00
1𝐸5	Best	−2.346968𝐸+01	5.000000𝐸−01	−2.177983𝐸+01	8.819336𝐸+00	1.012878𝐸+01
	Median	−1.456034𝐸+01	9.747225𝐸−01	−2.141695𝐸+01	1.452319𝐸+01	1.934751𝐸+01
	Worst	—	1.444171𝐸+00	−1.799526𝐸+01	1.865872𝐸+01	2.343274𝐸+01
	Mean	—	9.578726𝐸−01	−2.125042𝐸+01	1.396713𝐸+01	1.837846𝐸+01
	Std.	—	2.224497𝐸−01	8.395020𝐸−01	2.467759𝐸+00	3.401275𝐸+00
1.5𝐸5	Best	−2.405059𝐸+01	5.000000𝐸−01	−2.177985𝐸+01	8.793885𝐸+00	1.012562𝐸+01
	Median	−1.495897𝐸+01	8.691929𝐸−01	−2.146233𝐸+01	1.437097𝐸+01	1.905806𝐸+01
	Worst	—	1.274259𝐸+00	−1.825312𝐸+01	1.861175𝐸+01	2.328276𝐸+01
	Mean	—	8.448028𝐸−01	−2.129898𝐸+01	1.382334𝐸+01	1.824810𝐸+01
	Std.	—	1.715784𝐸−01	8.041711𝐸−01	2.485077𝐸+00	3.370184𝐸+00