作者:LIUChuanBin,MAYongHong,YINHang,YULeAn 单位:SchoolofEconomicsandManagement,HarbinEngineeringUniversity;ScienceandTechnologyDevelopmentCenter,MinistryofEducation 本文刊于: 《Science China(Technological Sciences)》 2021年第01期
关键词:
humanresourceallocation multiplescientifKeywords
human resource allocation, multiple scientific research projects, improved pigeon-inspired optimization(IPIO) algorithm, parameter adaptation
全文下载:需积分3点。
摘要
Aiming at the complex and restrictive characteristics of human resource allocation in multiple scientific university research projects, an improved pigeon-inspired optimization(IPIO) algorithm is proposed wherein loss minimization and the shortest project delay time are considered as optimization goals. Firstly, mathematical modelling of the problem is carried out, and the multi-objective optimization problem is transformed into a single-objective optimization problem by means of a weighted solution. In the second step, the traditional pigeon-inspired optimization(PIO) algorithm is discretized, and an adaptive parameter strategy is adopted to improve the shortcomings of the algorithm itself. Finally, by comparing the simulation results with the original algorithm and the genetic algorithm in the optimization of human resource allocation in multiple projects, the feasibility and superiority of the proposed algorithm in the optimization of human resource allocation in multi-scientific research projects is verified.
本文地址:www.fabiao.net/content-13-4619-1.html
本文地址:www.fabiao.net/content-13-4619-1.html
上一篇:且歌且行向远方
下一篇:基于熵权物元可拓理论的文化产业古城PPP项目风险评价