Hurricane Search algorithm a new model for function optimization
Ismail Rbouh, Abdelhakim Ameur El Imrani · 2014
This paper introduces a new meta-heuristic optimization technique, called “Hurricane-based Search algorithm (HuSA)”. The underlying concepts and ideas behind the proposed method are inspired from nature and based on the observation of hurricanes, the radial wind and pressure profiles. In HuSA, wind parcels move in a spiral course outward from a low-pressure zone called the eye of the hurricane. During this process, wind parcels search for a lower pressure zone (new eye), which is considered as the optimal solution. The HuSA is tested with several benchmark functions frequently used in the area of optimization. The obtained results exhibit the high performance of the proposed method.