木质家具行业生产计划的自适应进化算法

J. C. Vidal, M. Mucientes, Alberto Bugarín-Diz, M. Lama
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引用次数: 4

摘要

本文描述了一种自适应进化方法来解决木制家具行业的生产计划问题。目标是安排新的传入订单,并在必要时为已经存在的订单重新制定计划。该任务的复杂性和不确定性促使人们使用进化算法和模糊集相结合的混合解决方案。一方面,ea允许高效和灵活地使用调度任务中涉及的大量参数,并减少其计算时间。另一方面,模糊集提高了在不确定知识下解的评价置信度。这种生产计划任务的进化方法是管理木制家具产品设计生命周期的基于知识的系统的一部分,目前正在木制家具行业中实施
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Adaptive Evolutionary Algorithm for Production Planning in Wood Furniture Industry
This paper describes an adaptive evolutionary approach to the problem of the production planning task in the wood furniture industry. The objective is to schedule new incoming orders and to regenerate the scheduling for already existing orders when necessary. Complexity and uncertainty of this task promotes the use of an hybrid solution that combines evolutionary algorithms (EAs) and fuzzy sets. On one hand, EAs allow an efficient and flexible use of large number of parameters involved in the scheduling task and to reduce its computation time. On the other hand, fuzzy sets improve the confidence in the evaluation of the solutions when uncertain knowledge is used. This evolutionary approach to the production planning task is a part of a knowledge-based system that manages the product design life cycle of wood-based furniture and is being currently implemented on a wood furniture industry
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