The Design Assignment Algorithm Considering Factors Influenced by Personnel Comprehensive Ability

Abstract

Personnel comprehensive ability is a crucial factor to consider in task assignments. However, existing research only takes personnel comprehensive ability as a single influencing component while designing the task assignment algorithm. The above research does not consider the influence of different personal abilities on the algorithm. Therefore, this paper proposes a design assignment algorithm that takes into account the factors impacted by personnel comprehensive ability. This algorithm is based on the design assignment. According to the actual needs, the personnel comprehensive ability is quantified into skill indexes, experience indexes, and design quality indexes to assess the comprehensive ability of personnel. An improved genetic algorithm is used to solve the optimal task assignment scheme with the optimal combination of personnel comprehensive ability and task completion time as the optimization objective. When the test results are compared, the suggested algorithm (TDA-CFIPA) is more reliable and efficient than the traditional task assignment algorithm.