A Method for Parameters Estimation in a Dynamical Model of Ebola Virus Transmission in Sierra Leone

Algorithm 1

Parameter estimation of GA.

(1)	Parameter length is determined according to parameter range.
(2)	Each parameter is represented by a chromosome of length to get a complete parameters set .
(3)	Initialize all parameters set, .
(4)	Evaluate the fitness of each using .
(5)	for Constant do
(6)	ifdo
(7)	Sort allocation fitness in an ascending order.
(8)	.
(9)	.
(10)	end if
(11)	Randomly add an initialization parameter to replace one of the
(12)	if max close to average do
(13)	Mutation probability
(14)	end if
(15)	Randomly select .
(16)	Cross over and according to , .
(17)	Perform mutation on and according to .
(18)	.
(19)	Evaluate fitness .
(20)	ifdo
(21)	.
(22)	end if
(23)	ifdo
(24)	Multiple crossover and variation.
(25)	end if
(26)	Find the best parameters set in this generation that satisfies .
(27)	end for
(28)	Find the best parameters set that satisfies .