Smell Agent Optimization

This contains the implementation of a new metaheuristic algorithm named smell agent optimization algorithm.

Smell Agent Optimization is a novel optimization algorithm developed to mimic the intelligent behaviors of an agent trailing the source of a smell molecules. The concept which is modeled into three phases (Sniffing, Trailing and Random) is unique and simple to implement. This upload contain the implementation of SAO on 37 CEC benchmark functions. https://doi.org/10.1016/j.knosys.2021.107486