基于三层编码的改进和优化生物地理优化算法优化半导体企业的生产效率

Jiaqi Liu
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引用次数: 0

摘要

针对当前半导体企业生产效率低、产能无法充分释放的问题,研究构建了半导体企业生产效率优化模型。该模型将生产效率低的问题转化为企业客户订单脱钩点的定位与解决,并在定位与解决客户订单脱钩点时综合考虑了企业生产订单突变的情况。提出利用三层编码(TLC)机制改进和优化生物地理优化算法,利用改进的生物地理优化(IOBO)算法解决半导体企业生产效率优化问题。结果表明,所提出的 IBBO-TCL 算法收敛速度快,收敛后的均方根误差最小。而且该方法能准确解决半导体企业客户订单解耦点问题。该研究提出的方法有效提高了半导体企业的生产效率,对优化企业结构具有指导意义。
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Optimizing production efficiency in semiconductor enterprises by an improve and optimized biogeographical optimization algorithm based on three-layer coding

Aiming at the problem of low production efficiency and inability to fully unleash production capacity in current semiconductor enterprises, a production efficiency optimization model for semiconductor enterprises has been studied and constructed. This model transforms the problem of low production efficiency into a problem of locating and solving the decoupling point of enterprise customer orders, and comprehensively considers the situation of sudden changes in enterprise production orders when locating and solving the decoupling point of customer orders. Propose to use a three-layer coding (TLC) mechanism to improve and optimize the biogeographical optimization algorithm, and use the improved biogeographical optimization (IOBO) algorithm to solve the production efficiency optimization problem of semiconductor enterprises. The results show that the proposed IBBO-TCL algorithm has a fast convergence speed and the minimum root mean square error after convergence. And this method can accurately solve the decoupling point of customer orders for semiconductor enterprises. The method proposed in the study has effectively improved the production efficiency of semiconductor enterprises and has guiding significance for optimizing enterprise structure.

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