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Solving multi-objective semiconductor assembly and test manufacturing scheduling problem based on estimation of distribution algorithm

机译:基于分布估计的求解多目标半导体装配及测试制造调度问题

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In order to solve the problem that, from the current practical perspective of semiconductor assembly and test manufacturing (ATM), the traditional multi-objective optimization algorithm is difficult to realize the practical decision of the enterprise, this paper proposes a new multi-objective estimation of distribution algorithm (EDA) to solve the ATM scheduling problem. According to the demand of the ATM enterprise, based on sub-module using two modeling ideas, objectives were divided into two categories: constrained objective and optimized objective, and the different objective had the different searching process. Finally, it used the new algorithm to solve the multi-objective ATM scheduling problem. The result shows that the novel algorithm has the good feasibility and it also has an obvious advantage, the better practicability and maneuverability, compared with the traditional multi-objective optimization methods.
机译:为了解决目前半导体组装与测试制造(ATM)实际应用中传统的多目标优化算法难以实现企业实际决策的问题,提出了一种新的多目标估计方法解决ATM调度问题的分布式算法(EDA)。根据ATM企业的需求,在子模块的基础上,采用两种建模思想,将目标分为约束目标和优化目标两类,不同的目标具有不同的搜索过程。最后,使用新算法解决了多目标ATM调度问题。结果表明,与传统的多目标优化方法相比,该算法具有良好的可行性,并且具有明显的优势,具有较好的实用性和可操作性。

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