Human resource supply and demand simulation method based on hierarchical path algorithm and differential search algorithm

Abstract

The invention provides a human resource supply and demand simulation method based on a hierarchical path algorithm and a differential search algorithm. According to the method, the retirement, natural employment reduction and recruitment of units of different levels, different business types and different employment forms as well as internal post transfer and promotion of enterprises are simulated and deduced, and simulation data supports multi-level and multi-dimensional statistical analysis. The method comprises an automatic hierarchical path simulation method and a differential search algorithm-based person random extraction method meeting probability distribution conditions. The increasing, decreasing and flowing paths of employees are simulated according to a first-out and last-in, top-down and low-to-high sequence; and dimension reduction work is carried out by adopting feature selection of the differential search algorithm, and a simulation process of person automatic extraction and flow is realized when person automatic extraction and distribution are carried out. With the method adopted, technical problems in a prediction model are solved, a reasonable scheme for simulating employee exits, employee entrances and employee internal flow is formulated through data analysis and technical construction, and human resource balance analysis is accurate in the aspect of departments and posts.

Description

technical field [0001] The present invention relates to the technical field of human resource supply and demand, in particular to a method for simulating human resource supply and demand based on hierarchical paths and differential search algorithms. Background technique [0002] At present, many enterprises in our country have a relatively rough creation process of human resource employment strategies, and also use Excel for manual statistical forecasting. Without the support of scientific methods and professional information tools, it is difficult to adapt to large-scale enterprises, large numbers of personnel, complex structures, and mobility. Due to the processing and calculation of a large amount of basic information of frequent human resource employment strategies, there are generally large deviations in total forecasting, imprecise analysis granularity, inaccurate mid- and long-term forecasting, oversupply and personnel structure analysis and evaluation that cannot be ...

AI Technical Summary

Problems solved by technology

[0004] 2) Although the human resource planning of existing power grid enterprises can think and plan the development of human resource teams and the overall situation of human resource management from a strategic height, the human resource planning forecast cannot be closely combined with the development of production and operation to form a specific and reasonable human resource allocation; The recruitment of new employees is more based on the situation of oversupply, but it cannot effectively match the quality requirements of the positions required by the oversupply

[0005] Among the existing disclosed technologies, the patent publication number CN109345021A proposes a method for predicting labor demand increments using LSTM modeling, and the patent publication number CN108428014A proposes a method for predicting labor demand increments in a region, and the publication number is CN112053090A A block chain-based flexible employment data processing method, device and system proposed by the patent, as well as the real-time labor management system and management method proposed by the patent with the publication number CN104361445B, did not solve the technical problems in the above-mentioned prediction model

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