SSPCO Optimization Algorithm (See-See Partridge Chicks Optimization)

Abstract

Nature is a huge source of inspiration for solving difficult issues and complex problems in computer science which always finds an optimal solution to solve its problem by maintaining a perfect balance between its components. A meta-heuristic algorithm that is inspired by the nature which imitates the nature has opened a new era in the calculations for solving optimization problems. In the past decades, numerous research efforts are focused in this specific area. In this paper, an optimization algorithm taking from the nature has been introduced which is modeled from the behavior of the chicks of a type of bird called See-see partridge. SSPCO optimization algorithm is an algorithm similar to the algorithm of particle swarm optimization that the motion equation and the variables' velocity were modeled from the behavior of this type of bird. Simulation of the algorithm was done with MATLAB software and the results of the five known algorithms were compared with six static function and results indicate that the proposed algorithm is an efficient algorithm.