Fractional-Order Boosted Jellyfish Search Optimizer with Gaussian Mutation for Income Forecast of Rural Resident

Table 1

Parameters setting.

Algorithm	Parameters	Values
AOA [43]	Control parameter	µ = 0.499
	Sensitive parameter	a = 5
GSA [44]	ElitistCheck, Rpower, Rnorm, alpha, G0	1, 1, 2, 20, 100
PSO [45]	c1, c2, vMax, w	2, 2, 6, 1
WOA [46]	A	Decreased from 2 to 0
	b	2
SSA [47]	Leader position update probability	c3 = 0.5
GBO [48]	βmin, βmin	0.2, 1.2
	pr	0.5
SOA [48]	Control parameter (A)	[2, 0]
	fc	2
JS [36]	β	3
	γ	0.1
LSA [49]	Channel time	10
DE [28]	Scalingfactor, crossoverprobability	0.5, 0.5
WHO [50]	Crossover percentage	PC = 0.13
	Stallions percentage (number of groups)	PS = 0.2
	Crossover	Mean
MVO [29]	WEP_Max, WEP_Min	1, 0.2