引用本文:王凌,周刚,许烨,王圣尧.求解不相关并行机混合流水线调度问题的人工蜂群算法[J].控制理论与应用,2012,29(12):1551~1557.[点击复制]
WANG Ling,ZHOU Gang,XU Ye,WANG Sheng-yao.An artificial bee colony algorithm for solving hybrid flow-shop scheduling problem with unrelated parallel machines[J].Control Theory and Technology,2012,29(12):1551~1557.[点击复制]
求解不相关并行机混合流水线调度问题的人工蜂群算法
An artificial bee colony algorithm for solving hybrid flow-shop scheduling problem with unrelated parallel machines
摘要点击 2388  全文点击 3110  投稿时间:2012-06-01  修订日期:2012-06-19
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DOI编号  10.7641/j.issn.1000-8152.2012.12.CCTA120611
  2012,29(12):1551-1557
中文关键词  混合流水线调度  不相关并行机  人工蜂群算法  实验设计
英文关键词  hybrid flow-shop scheduling  unrelated parallel machine  artificial bee colony  design of experiment
基金项目  国家自然科学基金资助项目(61174189, 60834004); 国家重点基础研究发展计划资助项目(2009CB320602).
作者单位E-mail
王凌* 清华大学 自动化系 wangling@tsinghua.edu.cn 
周刚 清华大学 自动化系  
许烨 清华大学 自动化系  
王圣尧 清华大学 自动化系  
中文摘要
      针对不相关并行机混合流水线调度问题的特点, 设计了一种基于排列的编码和解码方法, 提出了一种有效的人工蜂群算法. 在引领蜂和跟随蜂搜索阶段采用3种有效的邻域搜索方法, 以丰富搜索行为; 在侦察蜂搜索阶段通过随机搜索对种群进行更新, 以增强种群多样性. 同时, 通过试验设计方法对算法的参数设置进行了分析, 给出指导性参数组合. 通过基于典型实例的数值仿真以及与已有代表性算法的比较, 验证了所提算法的有效性和鲁棒性.
英文摘要
      According to the characteristics of the hybrid flow-shop scheduling problem with unrelated parallel machines (HFSP–UPM), we design a permutation-based method for encoding and decoding, and propose an effective artificial bee colony (ABC) algorithm. At the employed bee phase and the onlooker bee phase, three effective neighbor-search approaches are used to enrich the searching behavior; at the scout bee phase, the population is updated by using random search to enhance the diversity of population. Based on Taguchi method for experiment design (DOE), the effect from the parameter-setting is investigated and suitable parameter values are suggested. Numerical simulation based on benchmark examples and comparisons with the existing typical algorithms demonstrate the effectiveness and robustness of the proposed algorithm.