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AN AGENT BASED OPTIMIZATION APPROACH TO MANUFACTURING PROCESS PLANNING

机译:制造过程计划的基于代理的优化方法

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摘要

Many optimization problems, such as manufacturing process planning optimization, are difficult problems due to the large number of potential configurations (process sequences) and associated (process) parameters. In addition, the search space is highly discontinuous and multi-modal. This paper introduces an agent based optimization algorithm that combines stochastic optimization techniques with knowledge based search. The motivation is that such a merging takes advantage of the benefits of stochastic optimization and accelerates the search process using domain knowledge. The result of applying this algorithm to computerized manufacturing process models is presented.
机译:由于许多潜在的配置(过程顺序)和关联的(过程)参数,许多优化问题(例如制造过程计划优化)都是困难的问题。另外,搜索空间是高度不连续的并且是多模式的。本文介绍了一种基于代理的优化算法,该算法将随机优化技术与基于知识的搜索相结合。其动机是这种合并利用了随机优化的优势,并使用领域知识加速了搜索过程。给出了将该算法应用于计算机化制造过程模型的结果。

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