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机构地区:[1]哈尔滨工业大学机电工程学院,哈尔滨150001
出 处:《哈尔滨工业大学学报》2009年第11期47-52,共6页Journal of Harbin Institute of Technology
基 金:国家高技术研究发展计划资助项目(2006AA04Z165)
摘 要:针对网络化制造环境下制造任务分解与资源配置脱节的问题,提出了制造任务逐层分解与制造单元级资源配置协同优化的方法,建立了协同优化流程.在对制造任务特点进行分析的基础上,建立了制造任务模型和制造单元资源模型,建立了多目标优化模型和目标的综合评价体系,利用在遗传算法求解搜索过程中所获得的动态信息进行综合评价,并随着求解搜索过程的深入对变异幅度进行调整,以达到全局优化和加快收敛速度的目的.最后以实例验证了该方法的可行性与有效性.A collaborative optimization method of manufacturing unit deployment was proposed in order to solve the disjunction problems between manufacture task decomposition and resource deployment in networked manufacturing environment. And the optimization flow was constructed with hierarchical structure. Then the manufacture task model and manufacture unit resource model were constructed based on task characteristic analysis. A multi-objective optimization model and its comprehensive evaluation system were constructed. Dynamic information obtained from the searching process of genetic algorithm was used in the comprehensive evaluation. And the variation range was adjusted in the searching process in order to obtain the global optimization and speed up the convergence. Feasibility and effectiveness of the proposed method were verified by an application case.
关 键 词:网络化制造 任务分解 资源配置 协同优化 能源消耗
分 类 号:TH166[机械工程—机械制造及自动化] TP391[自动化与计算机技术—计算机应用技术]
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