A New Hybrid Model Based on an Intelligent Optimization Algorithm and a Data Denoising Method to Make Wind Speed Predication

Algorithm 1

AFSA.

Input:

—A sequence of training data.

Output:

—The returned value with the best fitness in the search domain.

Parameters:

try_number—The attempted times in the behaviour of prey.

friend_number—The number of friends around AF.

AF_[]—The position of AF.

AF_step—The distance that AF can move for each step.

AF_visual—The visual distance of AF.

AF_delta—The condition of jamming.

(1) /Generate an initial population of AF /

(2) /AF_prey()/

(3) FOR EACH    DO

(4) ;

(5) IF    THEN

(6) ;

(7) ELSE    END END

(8) /AF_swarm()/

(9) FOR EACH  

(10) IF    DO

(11) ;

(12)   END

(13)

(14) IF    THEN

(15) ;

(16) ELSE AF_prey() = 0 END END

(17) /AF_follow()/

(18) FOR EACH

(19) IF    THEN

(20) ;

(21) ; END

(22) ;

(23) IF    THEN

(24) ;

(25) END IF  

(26)

(27) ELSE AF_prey