Crow Search Optimization Algorithm Step-by-Step ~xRay Pixy

Crow Search Optimization Algorithm

Crow Search Optimization is similar to Particle Swarm Optimization. Crow search algorithm is based on the intelligent behavior of crows. Crow can memorize the hiding place positions. They follow each other to steal their food. Crows protect their hiding places from attackers. Two main parameters are used in CSO algorithm: Flights Length and Awareness Probability.

Crow Search Optimization Algorithm Main Concept 01: “Crow store excess food in hiding places and retrieve it when needed”. Crows can memorize hidden places & retrieve the hidden food even after several days/months.

Crow Search Optimization Algorithm Main Concept 02“They can cheat other crows by following the other crows [i.e., to watch their hidden places] in order to steal their hidden food.  

Crow Search Optimization Alsogithm CASES

CASE 1: Crow J doesn’t know Crow I following him. 

CASE 2: Crow J knows Crow I following him. 

Crow Search Algorithm Application: Crow Search Algorithm applied to different optimization problems:

1.) In Chemical engineering 2.) For Feature Selection 3) In image processing 4.) In the medical Field 5.) In Power Energy