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文章基本信息

  • 标题:Ant colony optimisation for scheduling of flexible job shop with multi-resources requirements
  • 本地全文:下载
  • 作者:Krzysztof Kalinowski ; Krzysztof Kalinowski ; Damian Krenczyk
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2017
  • 卷号:112
  • 页码:1-6
  • DOI:10.1051/matecconf/201711206018
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:The paper presents application of ant colony optimisation algorithm for scheduling multi-resources operations in flexible job shop type of production systems. Operations that require the participation of two or more resources are common in industrial practice, when planning are subject not only machines, but also other additional resources (personnel, tools, etc.). Resource requirements of operation are indicated indirectly by resource groups. The most important parameters of the resource model and resource groups are also described. A basic assumptions for ant colony algorithm used for scheduling in the considered model with multiresources requirements of operations is discussed. The main result of the research is the schema of metaheuristic that enables searching best-score solutions in manufacturing systems satisfying presented constraints.
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