A Novel Hybrid Self-Adaptive Bat Algorithm

Algorithm 2

Modification in hybrid self-adaptive BA algorithm (HSABA).

Input: Population 𝐱_𝐢=𝑥_𝑖1,…,𝑥_𝑖𝐷,𝐴,𝑟^𝑇 for 𝑖=1,…,𝑁𝑝.

Output: Trial solution 𝐲=𝑦₁,…,𝑦_𝐷,𝐴,𝑟^𝑇.

 (1)   if  rand(0,1)>𝑟_𝑖  then

 (2)    𝑟_𝑖=1,…,4=rand(0,1)∗𝑁𝑝+1∧𝑟₁≠𝑟₂≠𝑟₃≠𝑟₄;

 (3)    𝑛=rand(1,𝐷);

 (4)    for  𝑖=1  to  𝐷  do

 (5)    if  ((rand(0,1)<CR)∣∣(𝑛==𝐷))  then

 (6)     𝑦_𝑛=DE_Strategy(𝑛,𝑖,𝑟₁,𝑟₂,𝑟₃,𝑟₄);

 (7)    end if

 (8)    𝑛=(𝑛+1)%(𝐷+1);

 (9)    end for  {DE Strategies}

 (10) end if