A Personnel Rating Optimization Algorithm

In view of the enterprise personnel management (EPM), a novel nature-inspired optimization algorithm called personnel rating optimization (PRO) is proposed in this paper. The design of PRO mimics the workflow of management activities from EPM to achieve the aim for bolstering the team's competence level. Built on the mechanisms of PRO, including personal promotion, swarm interaction, and coordinated management, it could quickly lock onto the solution region in high-dimensional space. In this study, we analyzed the essential similarities between PRO and EMP about management strategies, then presented the detailed procedures and mathematical model applied in PRO. A set of various numerical benchmark functions have been conducted on PRO and some other state-of-art natural computation algorithms including whale optimization algorithm (WOA), differential evolution algorithm (DE), genetic algorithm (GA) and particle swarm optimization (PSO). Experimental results show that PRO has high precision and good stability, and the premature phenomenon is effectively restrained.