文章基本信息

标题：Efficient Dispatching Rules Based on Data Mining for the Single Machine Scheduling Problem
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作者：Mohamed Habib Zahmani ; Baghdad Atmani ; Abdelghani Bekrar 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2015
卷号：5
期号：15
页码：199-208
DOI：10.5121/csit.2015.51516
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In manufacturing the solutions found for scheduling problems and the human expert’sexperience are very important. They can be transformed using Artificial Intelligence techniquesinto knowledge and this knowledge could be used to solve new scheduling problems. In thispaper we use Decision Trees for the generation of new Dispatching Rules for a Single Machineshop solved using a Genetic Algorithm. Two heuristics are proposed to use the new DispatchingRules and a comparative study with other Dispatching Rules from the literature is presented.
关键词：Data Mining; Decision Trees; Dispatching Rules; Single Machine; Scheduling; Genetic;Algorithm