作　　者： ; ; ; ;

机构地区： 西北工业大学机电学院系统集成与工程管理研究所

出　　处： 《机械工程学报》 2006年第9期15-22,28,共9页

摘　　要： 深入分析了制造协作组织形成过程的市场特性。针对产品制造任务性能参数的优化问题,提出正向优化与逆向优化过程模型,分析双向优化结构的宏观与微观特征。通过探讨可以发现,制造任务优化与制造资源配置是市场协作制造过程中的两个相互影响、密不可分的整体。通过针对逆向优化过程的研究,进行制造任务性能参数逆向优化过程的形式化描述,进一步构建任务参数优化的数学模型,并且运用矢量范数理论对模型的最优解存在性质进行论证。最后,在分析遗传算法的宏观与微观策略的基础上,利用基于实数编码的遗传算法对优化模型进行求解,用实例验证了优化方法与算法的有效性。 In the process of forming manufacturing cooperative organization, an optimization problem of performance parameters of production manufacturing tasks are analysed. Then the process model of normal and inversive optimization is put forward, and moreover its macroscopical and microcosmic structures are investigated. These above studies show that both activities of manufacturing tasks optimization and resources deployment are an interdepended and indivisible entity based on market cooperative production. After the inverswe optimization process of tasks performance parameters is formalized based on researching the inversive optimization, the optimization mathematical model is constructed, and also a theorem of the optimal solutions existence is demonstrated by the theory of vector norm. On analyzing macroscopical and microcosmic strategies of genetic algorithm（GA）, the optimization problem is solved by real-coded GA. The effectiveness of model and algorithm is proved by an example.

关 键 词： 产品制造任务 性能参数 正向优化 逆向优化 遗传算法

领　　域： [机械工程]