Research on Human Resource Allocation Algorithm for Application Integration Feature Selection in the Internet of Things Environment

Abstract

Abstract In the context of the Internet of Things, the existing human resource optimization allocation methods have problems such as time-consuming resource allocation, improper allocation, improper matching between tasks and resources, and unsatisfactory human resources. This paper proposes a new human resource allocation method based on the multi-objective method, that is, the use of comprehensive feature selection for resource allocation. The method first extracts human resource features to establish a database, then completes feature selection based on the comprehensive feature selection method, establishes the human resource allocation model, and allocates resources according to various factors and resource characteristics. Finally, the genetic algorithm is used to solve the human resource allocation model to achieve the optimal allocation of human resources. The experimental results show that the proposed method takes a shorter time to allocate human resources and a shorter time to execute tasks after the allocation is completed, which verifies the high scheduling efficiency and effectiveness of the proposed method.