Research on Optimization of Organizational Training Efficiency under Multiple Training Objectives Based on AHP-GA Algorithm

Abstract

This paper proposes a solution that combines Analytic Hierarchy Process (AHP) and Genetic Algorithm (GA) to optimize the training duration of training institutions with multiple training objectives by establishing a mathematical model for optimizing organizational training benefits under multiple constraints. This method not only utilizes expert experience values to avoid the influence of extreme values, but also draws on the advantages of genetic algorithm to solve the optimal solution. Using AHP for quantitative and qualitative analysis to determine the weight of training target allocation, a combination of elite retention strategy and roulette wheel algorithm was used to select genetic operators, and simulation experiments were conducted to calculate the training duration allocation scheme with limited training duration and optimal training efficiency under multiple training objectives.