求解分布式置换流水线调度问题的化学反应优化算法

doi:10.16511/j.cnki.qhdxxb.2015.21.009

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摘要针对分布式置换流水线调度问题(DPFSP),提出了一种有效的化学反应优化(CRO)算法。设计了CRO算法求解DPFSP的4种基本操作,通过多样化的操作丰富搜索行为并保证种群的多样性。同时,针对问题特性设计了有效的局部搜索机制,增强了算法局部趋化能力。最后,基于试验设计的方法探讨了参数设置对算法性能的影响,并通过数值仿真以及与已有算法的统计比较验证了所提算法的有效性。

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	沈婧楠
	王凌
	王圣尧

关键词 ：分布式调度, 置换流水线调度, 化学反应优化, 局部搜索

Abstract：An effective chemical reaction optimization(CRO) algorithm was developed to solve the distributed permutation flowshop scheduling problem(DPFSP). Four basic CRO algorithm operators were used in the solution to enrich the search behavior and ensure the population diversity. An effective local search procedure was developed based on the DPFSP characteristics to enhance the local exploitation ability of the algorithm. Finally, the effects of the parameter settings on the algorithm were investigated using the design-of-experiment method with the numerical results showing that this algorithm is effective.

Key words： distributed scheduling permutation flowshop scheduling problem chemical reaction optimization local search

收稿日期: 2013-10-09 出版日期: 2015-11-15

ZTFLH:

TP182

通讯作者: 王凌,教授,E-mail:wangling@tsinghua.edu.cn E-mail: wangling@tsinghua.edu.cn

引用本文:

沈婧楠, 王凌, 王圣尧. 求解分布式置换流水线调度问题的化学反应优化算法[J]. 清华大学学报（自然科学版）, 2015, 55(11): 1184-1189,1196.
SHEN Jingnan, WANG Ling, WANG Shengyao. Chemical reaction optimization algorithm for the distributed permutation flowshop scheduling problem. Journal of Tsinghua University(Science and Technology), 2015, 55(11): 1184-1189,1196.

链接本文:

http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2015.21.009 或 http://jst.tsinghuajournals.com/CN/Y2015/V55/I11/1184

图１　CRO 算法流程图

表１　针对DPFSP的CRO 算法操作

图２　两点交叉示意图

图３　距离保持交叉示意图

表２　CRO 算法的参数表

表３　CRO 算法中参数的水平值

表４　正交表和RV 值

图４　参数的水平值趋势图

表５　CRO 算法的参数的参考值

表６　局部搜索操作对RPD 的影响

表７　不同算法的RPD

图５　种群性能变化曲线

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