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.
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.
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