Table 3.

Parameters settings of GCDMOPSO and all the compared algorithms.

	Algorithms	Parameters setting
1	dMOPSO [19]	w ∈ [0.1, 0.5], c1c2 ∈ [1.5, 2.5]
2	MOPSO [9]	w ∈ [0.1, 0.5], c1c2 ∈ [1.5, 2.5], div=10
3	SMPSO [13]	w ∈ [0.1, 0.5], c1c2 ∈ [1.5, 2.5], pm=(1/n), ηm=20
4	MOPSOCD [24]	w ∈ [0.1, 0.5], c1c2 ∈ [1.5, 2.5]
5	MPSO/D [18]	w ∈ [0.1, 0.5], c1c2 ∈ [1.5, 2.5], pc=0.9, F=0.5, CR=0.5, pm=(1/n), ηm=20
6	MMOPSO [14]	w ∈ [0.1, 0.5], c1c2 ∈ [1.5, 2.5], pc=0.9, pm=(1/n), ηc=ηm=20
7	NMPSO [23]	w ∈ [0.1, 0.5], c1c2c3 ∈ [1.5, 2.5], pm=(1/n), ηc=ηm=20
8	NSGA-II [10]	p c =1.0, pm=(1/n), ηc=ηm=20
9	NSGA-III [25]	p c =1.0, pm=(1/n), ηc=ηm=20
10	MOEA/D [15]	p c =1.0, pm=(1/n), ηc=ηm=20, T=20
11	MOEAIGDNS [26]	p c =1.0, pm=(1/n), ηc=ηm=20
12	SPEAR [27]	p c =1.0, pm=(1/n), ηc=ηm=20
13	SPEA2 [28]	p c =1.0, pm=(1/n), ηc=ηm=20
14	IBEA [29]	p c =1.0, pm=(1/n), ηc=ηm=20
15	GCDMOPSO	w=0.4, c1c2=2, div=50