An Algorithm for Global Optimization Inspired by Collective Animal Behavior

Table 15

Optimum locations of Table 14.

Test function	𝐱opt	Test function	𝐱opt
𝑓14	(−32,32)	𝑓19	(0.114,0.556,0.852)
𝑓15	(0.1928,0.1908,0.1231,0.1358)	𝑓20	(0.201,0.15,0.477,0.275,0.311,0.657)
𝑓16	(0.089,−0.71),(−0.0089,0.712)	𝑓21	5 local minima in 𝑎𝑖𝑗,𝑖=1,…,5
𝑓17	(−3.14,12.27),(3.14,2.275),(9.42,2.42)	𝑓22	7 local minima in 𝑎𝑖𝑗,𝑖=1,…,7
𝑓18	(0,−1)	𝑓23	10 local minima in 𝑎𝑖𝑗,𝑖=1,…,10