BAT ALGORITHM |SOLVED STEP-BY-STEP| ~xRay Pixy

In this video tutorial, you will learn how to solve the Bat Algorithm Step by Step. All bats use echolocation to sense distance and background barriers. Microbats are small to medium-sized flying mammals. Micro Bats used a Sonar that is known as Echolocation to detect their prey. Bats fly randomly with the velocity at the position with a fixed frequency and loudness for prey. Initially, each BAT is randomly assigned: Frequency, Velocity, Position, Loudness, and Pulse rate.

Bat Algorithm Steps:

1.) Initialize the bat population 𝒙_(𝒊 ) (i = 1,2,3,…n) and 𝒗_(𝒊 ) 2.) Initialize frequencies 𝒇_(𝒊 ), pulse rate 𝒓_(𝒊 )and the loudness 𝑨_(𝒊 ) 3.) While ( t < Max number of iterations) 4.) Generate new solutions by adjusting frequency and velocities and locations. 5.) If (rand > 𝒓_(𝒊 )) Select a solution among the best solutions. Generate a local solution around the selected best solution. 6.) If (rand < 𝑨_(𝒊 )& f(𝒙_(𝒊 )) < f(𝒙_(∗ ))) Accept the new solution. Increase the 𝒓_(𝒊 )and reduce 𝑨_(𝒊 ) End if 7.) Rank the bats and find the current best 𝒙_(∗ ) End while Important Link for function calculation: Bat Algorithm Inspired Algorithm for Solving Numerical Optimization Problems
https://www.researchgate.net/publication/258478684_Bat_Algorithm_Inspired_Algorithm_for_Solving_Numerical_Optimization_Problems