XU Haoran， HE Fuqiang， XUE Yajun, LI Yun

(School of Mechanical Engineering, Guizhou University, Guiyang 550025, China)

Abstract: In order to solve the problem of optimal mixing ratio of raw materials needed for multi-functional wood panels, the mixture of log powder, magnesium chloride, magnesium oxide and other additives were selected as the research objects under the appropriate external pressing conditions. The results show that by comparing and analyzing the results of orthogonal experiment, genetic algorithm and Pareto multi-objective genetic algorithm, the reliability of genetic algorithm is confirmed. Based on the actual situation, Pareto multi-objective genetic algorithm can screen the optimal results according to the preference of decision makers, and provide guarantee for adapting to the market environment in actual production, which has practical significance.

Keywords: orthogonal test; genetic algorithm; Pareto multi-objective genetic algorithm; wood plate

中图分类号：TS653

文献标志码：A

文章编号：1008-5548(2021)02-0030-07

DOI:10.13732/j.issn.1008-5548.2021.02.005

收稿日期： 2020-09-23， 修回日期：2020-09-27，在线出版时间：2020-12-22 16:09。

基金项目：贵州工业和信息化厅资助项目，编号：黔工信科[2019]115号。

第一作者简介：徐浩然(1996—)，男，硕士研究生，研究方向为多体动力学。 E-mail:973986440@qq.com。

通信作者简介：贺福强(1975—)，男，博士，副教授，硕士生导师，研究方向为机器视觉检测与模式识别技术、智能制造技术。E-mail:2982705878@qq.com。