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A human-machine interaction approach of block erection schedule with three-dimensional spatial constraints

机译:人机交互的三维空间约束块体安装方案

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When the spatial constraints are taken into account, the problem about dispatch and optimization of block erection in shipbuilding becomes more complicated. A human-machine interaction approach is proposed and extended to quickly find an approximate optimal solution. First, a steer genetic algorithm enables users to guide the computing to an effective iterative direction and leverages the computing. The model of block erection dispatch to the crane is a parallel machine scheduling problem with spatial constraints. The genetic crossover operators can be guided according to the activities of block erection in shipbuilding. Two criteria are presented to justify the effectiveness of the proposed algorithm and a fitness function is given to represent the makespan. Moreover, three-dimensional spatial constraints, which affect the parallel machine scheduling problem heavily, are visualized. A better erection path can be obtained dynamically, when the users are in an immersive environment. Finally, a three-dimensional layout prototype system of block erection is developed with real size, embedded with an interactive genetic algorithm optimization to solve this problem with the objective of minimizing makespan.
机译:当考虑到空间限制时,造船中的块状安装的调度和优化问题变得更加复杂。提出并扩展了人机交互方法以快速找到近似的最佳解决方案。首先,引导遗传算法使用户能够将计算引导到有效的迭代方向并利用计算。起重机的块体安装调度模型是具有空间约束的并行机器调度问题。可以根据造船中的块体安装活动来指导遗传交叉算子。提出两个标准来证明所提出算法的有效性,并给出一个适应度函数来表示有效期。此外,可视化了严重影响并行机调度问题的三维空间约束。当用户处于沉浸式环境中时,可以动态获得更好的安装路径。最后,开发了一个具有实际尺寸的三维布局样机原型系统,并嵌入了交互式遗传算法优化来解决此问题,以最小化制造时间。

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