Skill Optimization Algorithm: A New Human-Based Metaheuristic Technique

Metaheuristic algorithms are widely used in solving optimization problems. In this paper, a new metaheuristic algorithm called Skill Optimization Algorithm (SOA) is proposed to solve The fundamental inspiration designing SOA human efforts acquire and improve skills. Various stages of mathematically modeled two phases, including: (i) exploration, skill acquisition from experts (ii) exploitation, improvement based on practice individual effort. efficiency applications analyzed through testing set twenty-three standard benchmark functions variety unimodal, high-dimensional multimodal, fixed-dimensional multimodal types. results show that SOA, by balancing exploration able provide good performance appropriate solutions for addition, the compared with ten evaluate quality obtained approach. Analysis comparison simulation has superior over considered achieves much more competitive results.