现代制造工程Issue(4)：25-35,11.DOI:10.16731/j.cnki.1671-3133.2025.04.003
一种基于改进蒲公英优化的云制造服务组合策略
A cloud manufacturing service composition strategy based on improved dandelion optimizer algorithm
摘要
Abstract
Given the low capability-demand alignment,the difficulty of optimizing combinations under multiple constraints,and the low efficiency in optimization,a service combination optimization method based on the improved Dandelion Optimizer(DO)algo-rithm is proposed for cloud manufacturing.After analyzing the capabilities of cloud manufacturing service providers and the quality attributes of services,the Analytic Hierarchy Process(AHP)is utilized to normalize and aggregate various attribu-tes.Subsequently,an improved DO algorithm is employed to solve the service combination problem and obtain the optimal service combination solution.In terms of improving the DO algorithm,diversity of population particles is enhanced by introducing the Tent chaotic mapping.Additionally,the convergence speed of the algorithm is improved by incorporating reverse learning mechanisms,counters,and mutation concepts,thus preventing premature convergence.Finally,through simulation experiments and comparative analysis with classical dandelion optimizer algorithm and other improved algorithms such as particle swarm optimization,genetic algorithm,and polar bear optimization proposed in relevant literature on service combination,the effectiveness and stability of the proposed algorithm in cloud manufacturing service combination optimization are verified.关键词
云制造/服务组合/蒲公英优化算法/混沌映射/反向学习Key words
cloud manufacturing/service composition/dandelion optimizer algorithm/chaotic mapping/reverse learning分类
计算机与自动化引用本文复制引用
董靖宇,郭银章..一种基于改进蒲公英优化的云制造服务组合策略[J].现代制造工程,2025,(4):25-35,11.基金项目
山西省中央引导地方科技发展资金项目(YDZJSX20231A044) （YDZJSX20231A044）
