首页|能力受限下制造服务组合的多目标优化方法

能力受限下制造服务组合的多目标优化方法

扫码查看
为了解决受制造任务种类多、制造服务跨地域和服务能力受限等特点影响的服务组合优化问题,提出服务能力受限下制造服务组合的多目标优化方法.该方法考虑异构任务的分解、原子任务的纵向执行顺序和横向处理顺序、制造服务跨地域分布和能力受限因素等约束,以最小化最大完成时间和最小化总成本为目标构建多目标优化模型.针对该问题的特点,提出基于启发式搜索的非支配排序算法(HSNSGA-Ⅱ),在初始化种群、交叉和变异阶段引入启发式搜索机制,能够提高算法的搜索质量.通过与3种常用启发式算法的对比实验,验证了HSNSGA-Ⅱ的有效性,并通过应用案例分析进一步验证了 HSNSGA-Ⅱ的实用性.
Multi-objective optimization for manufacturing service composition with service capability constraints
To solve the problem of service composition optimization,which is affected by multiple manufacturing tasks,cross-region manufacturing services and service capability constraints,a multi-objective optimization method for manufacturing service composition with service capability constraints was proposed.By considering the constraints such as the decomposition of heterogeneous tasks,the vertical execution order and horizontal processing order of atomic tasks,the cross-regional distribution of manufacturing services and the services capacity,a multi-objective optimiza-tion model to minimize the maximum completion time and the total cost was formulated.Aiming at the characteris-tics of this problem,a Heuristic Search based Non-dominated Sorting Genetic Algorithm Ⅱ(HSNSGA-Ⅱ)was pro-posed.The heuristic search was applied in the initial population,crossover and mutation stages to improve the search quality.The effectiveness of HSNSGA-Ⅱ was verified by comparison with three heuristic algorithms,and the prac-ticability of HSNSGA-Ⅱ was further verified by application case analysis.

manufacturing service compositionmulti-objective optimizationservice capability constraintsnon-domi-nated sorting genetic algorithm Ⅱheuristic search

罗贺、吴萍、王博、蔡智明

展开 >

合肥工业大学管理学院,安徽 合肥 230009

合肥工业大学过程优化与智能决策教育部重点实验室,安徽 合肥 230009

珠海格力电器股份有限公司大数据中心,广东 珠海 519000

澳门城市大学数据科学学院,澳门 999078

展开 >

制造服务组合 多目标优化 服务能力受限 非支配排序算法 启发式搜索

2024

计算机集成制造系统
中国兵器工业集团第210研究所

计算机集成制造系统

CSTPCD北大核心
影响因子:1.092
ISSN:1006-5911
年,卷(期):2024.30(12)