Chemical reaction optimization algorithm for the distributed permutation flowshop scheduling problem

doi:10.16511/j.cnki.qhdxxb.2015.21.009

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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.

Keywords distributed scheduling permutation flowshop scheduling problem chemical reaction optimization local search

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TP182

Issue Date: 15 November 2015

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	SHEN Jingnan
	WANG Ling
	WANG Shengyao

Cite this article:

SHEN Jingnan,WANG Ling,WANG Shengyao. Chemical reaction optimization algorithm for the distributed permutation flowshop scheduling problem[J]. Journal of Tsinghua University(Science and Technology), 2015, 55(11): 1184-1189,1196.

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

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