A New Swarm Algorithm Based on Orcas Intelligence for Solving Maze Problems

Abstract

In this paper, a new swarm intelligence algorithm based on orcas behaviors is proposed for problem solving. The algorithm called Orcas Algorithm (OA) consists in simulating the orcas life style and in particular their social organization, their echolocation practice and their hunting techniques. The experimental study we conducted tested the designed algorithm as well as recent state-of-the-art evolutionary algorithms for comparison purposes. The experiments were performed using a public dataset describing mazes with four level of complexity. The overall obtained results clearly show the superiority of OA algorithm over the others. This finding opens the way to other problems to solve to benefit from OA robustness.