空间科学任务协同设计过程优化

为了对概念设计阶段空间科学任务协同设计过程进行合理规划, 减少设计反馈, 降低系统耦合度, 提出了设计结构矩阵(DSM)过程建模和遗传算法(GA) 过程优化算法. 该方法采用DSM对空间科学任务设计活动序列进行建模, 通过DSM描述设计活动间的信息依赖关系, DSM上三角之和代表该设计活动序列设计反馈次数; 将 DSM对应的设计活动序列视为染色体, 采用GA进行序列优化, 最小化设计反馈次数. 通过过程优化算法获取最佳设计活动序列, 优化设计过程, 降低系统耦合度. 空间科学任务实例分析结果表明, 该方法能够有效应用于空间科学任务协同设计的过程建模和过程优化, 指导设计过程的制定. 

Process Optimization of Space Science Mission Concurrent Design

To optimize the process of space science mission concurrent design, an approach based on the Design Structure Matrix (DSM) modeling and Genetic Algorithm (GA) optimization method is proposed. In this approach, main design activities and dependencies relationship between the activities during the process of space science mission concurrent design are analyzed, and then the DSM model of the process is established. The design activities sequence corresponding to the DSM is treated as the chromosome and is optimized by the GA method. The optimal goal is to reduce the iterative times and to improve the parallel extent. A practical example of space science mission shows that the proposed approach can be applied to modeling and optimization of the process for space science concurrent design.