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A hybrid Hopfield network-genetic algorithm approach to optimal process plan selection

机译:混合Hopfield网络-遗传算法优化工艺计划选择

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摘要

In the automated manufacturing environment, different sets of alternative process plans can normally be generated to manufacture each part. However, this entails considerable complexities in solving the process plan selection problem because each of these process plans demands specification of their individual and varying manufacturing costs and manufacturing resource requirements, such as machines, fixtures/jigs, and cutting tools.
机译:在自动化制造环境中,通常可以生成不同组的替代工艺计划,以制造每个零件。然而,这在解决工艺计划选择问题时需要相当大的复杂性,因为这些工艺计划中的每一个都要求其各自的规格以及变化的制造成本和制造资源要求,例如机器,固定装置/夹具和切削工具。

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