Human resource allocation for multiple scientific research projects via improved pigeon-inspired optimization algorithm

被引：10

作者：

Liu, ChuanBin ^{[1
,2
]}

Ma, YongHong ^{[1
]}

Yin, Hang ^{[1
]}

Yu, LeAn ^{[1
]}

机构：

[1] Harbin Engn Univ, Sch Econ & Management, Harbin 150001, Peoples R China

[2] Minist Educ, Sci & Technol Dev Ctr, Beijing 100080, Peoples R China

来源：

SCIENCE CHINA-TECHNOLOGICAL SCIENCES | 2021年 / 64卷 / 01期

关键词：

human resource allocation; multiple scientific research projects; improved pigeon-inspired optimization (IPIO) algorithm; parameter adaptation; LOCAL-SERVICE DELIVERY; CHALLENGES; LESSONS; MODELS;

D O I：

10.1007/s11431-020-1577-0

中图分类号：

T [工业技术];

学科分类号：

08 ;

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.

引用

页码：139 / 147

页数：9

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