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Table 1 parameter setting

From: Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems

Algorithm

Parameter

Value

PSO

Cognitive factor \(c_{1}\)

Social factor \(c_{2}\)

The inertia constant w decreases linearly

2

2

[0.8, 0.2]

SSA

Population size of producers and danger was the overall percentage

Safety threshold ST

0.2

0.1

0.8

WOA

The control parameter a decreases linearly

The value of constant b

[2, 0]

1

HHO

The initial energy E0 range

[-1, 1]

DO

The adaptive parameter a decreases linearly

The adaptive parameter k increases linearly

The linear parameter δ increases linearly

[1, 0]

[0, 1]

[0, 2]

SCSO

Parameter S

2

AO

Exploitation adjustment factors α,δ

0.1,0.1

AOA

Parameter a, μ

5, 0.499

BWO

Parameters a, D

Whale landing probability Wf linear decline

3/2, 0.05

[0.1,0.05]

LHHO

The initial energy E0 changes the range

[-1, 1]

LMNS

Parameters N, z

20,0.03

HBWO

Parameters a, D, α, β, γ

Whale landing probability Wf linear decline

3/2, 0.05,1,2,2

[0.1,0.05]