计算机工程与应用2025，Vol.61Issue(11)：351-363,13.DOI:10.3778/j.issn.1002-8331.2403-0064
基于混合灰狼算法的设施布局优化
Facility Layout Optimization Using Hybrid Grey Wolf Optimizer
摘要
Abstract
This paper investigates a complicated facility layout optimization problem with considerations of the factors such as entry/exit locations,the facility orientation and the safety distance.The problem domain is stated and the mathe-matical model is developed to minimize the total logistics intension.Then,a hybrid grey wolf optimizer(HGWO)is pro-posed for solution generation.By virtue of the problem nature,a novel encoding and decoding method is designed to adjust grey wolf optimizer(GWO)to the considered problem.Meanwhile,an evaluation function is proposed to assist the population evolution.To improve the solution performance at initialization stage,the Fuch chaotic mapping is used to cre-ate initial solutions.In addition,a hybrid solution update mechanism is defined by combining the optimal solution guid-ance and neighborhood learning strategies to balance the global search and local mining capabilities.Finally,experiments are carried out to address numerical optimization problems,such as the pressure vessel problem and the facility layout optimization instances.The simulation results validate the performance of the proposed HGWO.关键词
灰狼算法(GWO)/设施布局/混沌映射/混合进化机制Key words
grey wolf optimizer(GWO)/facility layout/chaotic mapping/hybrid solution update mechanism分类
信息技术与安全科学引用本文复制引用
宋强..基于混合灰狼算法的设施布局优化[J].计算机工程与应用,2025,61(11):351-363,13.基金项目
国家自然科学基金(60773212) （60773212）
教育部产学合作协同育人项目(202101024034) （202101024034）
肇庆学院校基金(ZD202409). （ZD202409）
