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MULTI-OBJECTIVE PERFORMANCE DESIGN OF INJECTION MOLDING MACHINE VIA A NEW MULTI-OBJECTIVE OPTIMIZATION ALGORITHM

机译:新型多目标优化算法的注塑机多目标性能设计

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摘要

To solve the multi-objective optimization problem of injection molding machine product's overall performance, firstly, the optimal design of injection molding machine is studied and the design problem is formulated as a constrained multi-objective problem involving continuous and discrete design variables. Furthermore, with the K means of joint support vector clustering method to reduce the number of external stocks, a new multi-objective optimization algorithm KSVC-SPEA is proposed. Then, taking the multi-objective optimization of the overall performance of the HT160X1N high-speed injection molding machine as an example, the traditional linear weighting methods, Strength Pareto Evolutionary Algorithm (SPEA) and the KSCV-SPEA are applied. Case studies show that the KSVC-SPEA is able to effectively achieve the multi-objective optimization design of the overall performance of injection molding machine with a high efficiency.
机译:为了解决注塑机产品整体性能的多目标优化问题,首先研究了注塑机的优化设计,并将设计问题表述为包含连续和离散设计变量的约束多目标问题。此外,利用K支持向量聚类的方法减少了外部库存,提出了一种新的多目标优化算法KSVC-SPEA。然后,以HT160X1N高速注塑机整体性能的多目标优化为例,应用传统的线性加权方法,强度帕累托进化算法(SPEA)和KSCV-SPEA。案例研究表明,KSVC-SPEA能够高效,高效地实现注塑机整体性能的多目标优化设计。

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