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Table 1 The initial values of PSCO and PSO

From: Development of particle swarm clustered optimization method for applications in applied sciences

Method

Parameter

 

PSO

Population

ANFIS and MLPNN: 1000, REs: 100

Iteration

1000

Search space range

[− 10, 10]

Momentum factor (w)

0.99

Personal learning coefficient (c1)

1

Global learning coefficient (c2)

2

PSCO

Population

ANFIS and MLPNN: 1000, REs: 100

Iteration

1000

Clusters iteration (Im)

300

Number of clusters (m)

10

Search space range

[− 10, 10]

Momentum factor (w)

0.99

Personal learning coefficient (c1)

1

Global learning coefficient (c2)

2

AGPSO

Population

ANFIS and MLPNN: 1000, REs: 100

Iteration

1000

Search space range

[− 10, 10]

Momentum factor (w)

0.99

INFO

Population

ANFIS and MLPNN: 1000, REs: 100

Iteration

1000

Search space range

[− 10, 10]

DMOA

Population

ANFIS and MLPNN: 1000, REs: 100

Number of baby sister

10

Iteration

1000

Search space range

[− 10, 10]

δ (Eq. 11)

2