Table 2 Setting parameters of the presented algorithm.

From: Predicting the compressive strength of self-compacting concrete by developed African vulture optimization algorithm-Elman neural networks

Algorithm

Parameter

Amount

Lion optimization algorithm

Prides number

6

Mutate probability

0.1

Roaming percent

0.5

Immigrate rate

0.7

Nomad lions percent

0.4

Mating probability

0.5

Sex rate

0.87

Multi-verse optimize

Wormhole existence prob

(0.25, 1)

Traveling distance rate

(0.7, 1)

Black hole

\(\text{a}\)

(0, 1)

Number of stars

100

African vulture optimization algorithm and Developed African vulture optimization algorithm

  

\({\text{L}}_{1}\)

0.9

Emperor penguin optimizer

\(\overrightarrow{\text{A}}\)

(-1.6, 1.6)

S

(0, 1.6)

\(\text{M}\)

3

\(\text{l}\)

(1.6, 2)

Temperature value (\({\text{T}}^{{^{\prime}}}\))

(1, 1000)

\(\text{f}\)

(3, 4)